Technology

AI Pioneers Gather at KDD 2024, China Emerges as a Key Player in Large-Scale Educational Model Research

Published

2 years ago

October 10, 2024

The AGE of AI: In the age of AI, AI-driven adaptive learning has emerged as a novel paradigm, transforming the landscape of learning. At the recently concluded KDD 2024, Squirrel Ai took the stage to share with everyone what true personalized learning should look like.

SHANGHAI, Oct. 10, 2024 /PRNewswire/ — As the new school year kicks off, the new buzzword has gone viral — “painless learning.”

Nowadays, AI has rapidly integrated into the study and lives of university students at an unprecedented pace, and more and more people are beginning to experience what it feels like to shift from “painful learning” to “painless learning.” But is AI only changing the lives of university students? Absolutely not. Recently, a news story broke about AI offering creative ideas to a young boy in Chengdu, China, to mass-produce hand-drawn posters, frantically catching up on his summer homework with the start of the school year approaching.

Whether you embrace or hesitate towards it, the undeniable truth is that AI is profoundly impacting the field of education. From elementary students to university students, none can escape this overwhelming wave. What is it about AI that makes it blend so seamlessly with education? The reason lies in the fact that education should be tailored to each individual, but teachers cannot always give attention to every student. AI, however, completely breaks through this limitation in reality. Moreover, thanks to cutting-edge technologies like LLM (Large Language Models) and AIGC (AI-generated Content), traditional adaptive learning has gradually evolved into more intelligent “adaptive learning.” Some representative educational institutions have seized the opportunity and are investing in adaptive learning. For example, Duolingo Max employs role-playing techniques, allowing students to converse with AI through simulated scenarios.

Khanmigo uses a platform with personalized LLM dialogue, asking continuous questions to help students build knowledge while providing personalized teaching, ultimately resolving their doubts.

Andrew Ng’s Coursera, based on open online courses, offers online adaptive learning courses and a blended learning model. Clearly, adaptive learning is becoming a consensus in the AI education sector. Coincidentally, at the recently concluded ACM KDD 2024, the closing ceremony’s major roundtable discussion focused on GenAI + Education.

During the roundtable, participants including Professor Nitesh Chawla (AAAS/AAAI/ACM/IEEE Fellow) from the University of Notre Dame, Professor George Karypis (IEEE Fellow) from the University of Minnesota, Dr. Joleen Liang, Co-founder of Squirrel Ai, and Professor Ricardo Baeza-Yates (ACM/IEEE Fellow) from Northeastern University, dissected the outlook for the future of GenAI and examined potential innovative use cases.

Additionally, Squirrel Ai’s R&D team presented a paper at the main session of KDD, exploring the application of large language models (LLMs), specifically educational models, in time series analysis. They also hosted a workshop and delivered some of the keynotes during GenAI Day.

As the longest-running and largest international conference in the field of data mining, and an A-class academic event in China, KDD annually attracts thousands of leading scholars and business leaders from around the globe. It is a rare occasion for businesses to participate in academic discussions at such an international top-level gathering. Squirrel Ai, as of the few companies invited to participate and present a paper, demonstrated its proven expertise in AI-driven learning. So, what do these industry leaders think about the current development of AI?

What True AI Personalized Learning Looks Like

Years ago, when AI was still nowhere as ubiquitous as it is today, Squirrel Ai faced numerous questions – why incorporate AI into education? What can it do? The answer is we use AI to provide students with a true personalized learning platform and content. Today, everyone is considering how to maximize the value of GenAI. If the goal is just to make a quick buck by establishing a company in a short time, this mindset is actually very dangerous. Instead, leveraging this technology wisely, for example, in data analysis to enhance student learning, rather than merely churning out content – presents a significant opportunity. Currently, we are shifting the focus to human-machine interactions.

As we embark on interactions fueled by language and multimodal capabilities, we find ourselves at the dawn of a robots-led industrial revolution. However, we are still at a very early stage of using AI in education. Despite AI, MOOC (Massive Open Online Courses), online and remote learning, as well as speech and semantic recognition, the essence remains rooted in conventional learning methods. They fail to deliver truly personalized learning experiences. What is personalized learning? Many assume that it is about typing a question into ChatGPT and getting back an answer, but this is far from the truth. Dr. Joleen Liang indicated that most users, even companies, are yet to understand the nature of personalized learning. Hence, we have a long journey ahead to demonstrate what a truly personalized learning and AI-driven adaptive learning technology entail. As a minimum requirement, it should be one that allows users to understand, experience, make mistakes and re-experience. The next step involves the integration of AI, personalized learning, AI-driven adaptive learning systems, multimodal capabilities, and large models.

AI-driven adaptive learning not only helps students achieve higher scores, but also enables them build a broader range of skills within the same learning timeframe. Envision a scenario where students of varying ages sit around a table, without a teacher. They collaborate on group assignments or work together to address challenges. Students learn autonomously with interconnected devices, while teachers take the role as assistants, data analysts, emotional supporters, and mentors. This vision of AI-driven adaptive learning models represents the future of education.

GenAI makes a difference in education

The shortcomings of K-12 education are widely acknowledged. As we enter a technological renaissance, schools and parents aspire for more intelligent and personalized educational experiences for their children. Can GenAI provide innovative applications in the K-12 education sector? If so, the future of education will be revolutionized, offering more value to students and educators alike. The characteristics of GenAI address the needs of K-12 education.

Personalized learning: the common metric for LLMs in education

The question becomes, is there a common standard for evaluating the application of GenAI (Generative Artificial Intelligence) in education, and what should that standard be? In 2022, a report released by Google mentioned three major trends in future education, one of which is “personalized learning” with adaptive capabilities.

Personalized learning underscores student autonomy, where learners take charge of their educational journey unhindered by external influences. The approach is paramount to fostering important skills and competencies. Throughout the process, learners work with peers and seek guidance from educators. In a 2021 report, EY likens the progression of education to the stages of autonomous driving based on the use of intelligent technologies, categorizing it into six levels (L0 to L5). L0 represents traditional human-led instruction without automation. L1 reflects early digital integrations, including live and recorded lectures. L2 encompasses supportive tools such as photo-based question-solving approach, while L3 to L5 mark the full integration of AI throughout the learning journey for personalized experiences. At the pinnacle of this evolution stands L5 – “fully intelligent adaptive education,” where AI assumes the primary role in instruction, eliminating the need for any external resources. Squirrel Ai provides a model example.

Achieving L5: Fully AI-based adaptive learning

In the K-12 education sector, Squirrel Ai, a company with over ten years of expertise, understands that GenAI can dynamically adjust learning content and difficulty by analyzing students’ learning data. This approach offers a learning path tailored for each individual. The data-driven teaching method enhances learning efficiency and effectively fills in students’ knowledge gaps, ensuring their holistic development. Here’s how powerful GenAI strengthens students’ learning outcomes:

– Knowledge Point Breakdown: To build learning skills, it is necessary to understand and correlate the knowledge points within the system. Squirrel Ai achieves this goal with Socratic-style guided questions, which prompts students to think actively and deepen their comprehension, creating a more efficient and personalized learning environment. Squirrel Ai uses its unique database containing 10 billion learning behavior data points collected from the entire learning journeys of 24 million students. The data is fed into the LLM for iterations in recommendation algorithms and deep knowledge tracing. Consequently, the model adeptly captures complex relationships and patterns within the data, quickly identifying connections between knowledge points, questions, and students’ skills. By doing so, the model can generate accurate learning profiles and offer tailored, personalized services.

– Error Analysis: Squirrel Ai’s new Large Adaptive Model introduces an intelligent analysis function for draft paper content. The feature allows deep analysis of every step in a student’s problem-solving process, pinpointing errors in question comprehension, logical reasoning, calculation, and handwriting transcription. This ensures both students and teachers can identify issues quickly and accurately, and address weaknesses accordingly. This is made possible by the significant leaps in regular assessment efficiency and accuracy achieved by the new version of the multimodal large model, especially in subjective question grading. For example, it can accurately assigns scores and provides detailed explanations of deducted points, offering a comprehensive insight into students’ learning outcomes.

– Human-Machine Interaction: In terms of intelligent human-machine interaction, the new multi-modal adaptive engine has reached a new height. It supports both text and voice interaction modes, covering over 100 interactive dialogue scenarios. More thoughtfully, it possesses high-precision emotion recognition capabilities. With the feature, if a student experiences emotions like confusion, happiness, or distraction, the model can accurately detect them and promptly provide personalized feedback and encouragement in real-time. Furthermore, to create a more comprehensive and immersive audiovisual learning experience, Squirrel Ai has upgraded its intelligent scanning pen and headphones in a move to build a complete AI-based adaptive learning ecosystem. Its flagship product —the Smart Instructor S211 Egret—has revolutionized the traditional setup by using the unique digital paper technology, offering original color, color ink, and water ink display modes, paired with a high-definition camera to capture learning details in real-time. It sets a new industry benchmark in user experience and health considerations.

Squirrel Ai’s Large Adaptive Model LAM

So, how does the multi-modal adaptive engine LAM proposed by Squirrel Ai work behind the scenes?

The model’s architecture consists of three key components: a knowledge graph, a recommendation engine, and Retrieval-Augmented Generation (RAG). The recommendation engine contains different planners and agents, including both short-term and long-term path planning. Other components include sentiment analysis, path tracking (as each student has their own learning path), feedback, and summarization from the large model. Additionally, the AI system also incorporates two essential elements: parent goals and student profiles.

Within the intelligent agent architecture, the entire agent is called the “adaptive agent.” Its architecture houses an array of agents: data analysis agent, teaching autonomous driving agent, instructional Q&A agent, reasoning agent, and reading comprehension agent. Discipline-specific agents for physics, English, and science, work together to engage with students and provide them with personalized content recommendations. To facilitate the efficient coordination of these multi-faceted agents, the research team has developed a three-tiered adaptive engine. Tier 1 encompasses Goal, Learning Map, Content Map, and Root Cause Analysis. These dynamic elements set not just static targets, but also adapt to students’ pace, progress, and data insights in order to ensure recommendations are always optimized and relevant. The Root Cause Analysis, in particular, provides pinpoint accuracy in diagnosing and addressing student misconceptions.

Tier 2 focuses on learning records. The AI system keeps track of and evaluates all students’ learning materials. Tier 3 is realized by seamless interaction between the students and the AI system. Real-time data from these engagements is fed into the AI-based adaptive engine, where the AI system performs computation and analysis. Based on these insights, the AI system dynamically recommends tailored learning content, including knowledge, MCM (methodology, capability, mindset) skills, and practical applications. In addition, Squirrel Ai’s engine incorporates other key technologies, including the world’s first “Nano Level Granularity Knowledge Graph”. Recognizing that learning objectives vary widely across grades and subjects globally, Squirrel Ai’s research team has sorted these objectives into refined layers for developing algorithms. To cite an example, an objective about “addition and subtraction of fractions” can be broken down into second-level learning objectives (e.g. addition of fractions, subtraction of fractions, simple fraction calculations, multi-step fraction calculations). Third-level learning objectives with finer granularity can be derived from the second level, as shown in the figure below. Ultimately, one objective can be divided into nine layers.

Squirrel Ai’s Large Adaptive Model (LAM) also comes equipped with a prediction engine capable of estimating up to 100 learning objectives to be met based on a student’s 10 hours of study. The estimates dynamically change as the student progresses. Additionally, the recommendation engine within Tier 1 dynamically adjusts learning objectives based on real-time data. As shown in the figure below, the engine works as a root cause tracing system. Taking Grade 10 as the highest and Grade 7 as the lowest, from bottom to top, the green line refers to the learning objectives, knowledge, and skills that students have mastered. Suppose a student is in Grade 10 and faces difficulties in understanding a concept. The AI system will then trace the source of the question and suggest that the student review specific courses at the Grade 7 level. Only after ensuring that he has mastered the knowledge points, the AI system will resume his learning path.

Consider a scenario where three students each demonstrate an 80% mastery of learning objectives. Despite this shared overall proficiency, Squirrel Ai’s system reveals distinct strengths and weaknesses among them, as indicated by the distribution of their remaining 20% of knowledge. This underscores the importance of a robust problem tracing system, which empowers educators and students alike to address individual learning gaps.

The inclusion of the MCM system demonstrates Squirrel Ai’s commitment to equipping students with the skills demanded by various industries and professions. From language to physics to mathematics, each discipline requires a unique mix of skills, and Squirrel Ai’s MCM training ensures that students are well-prepared to excel in their chosen fields.

Squirrel Ai’s Large Adaptive Model LAM stands apart from conventional LLMs. Taking ChatGPT for example, the system provides answers to queries and maintains the query history. However, ChatGPT does not recommend personalized learning content and cannot understand an individual’s learning history and proficiency. By contrast, Squirrel Ai’s LAM leverages learners’ historical data, unique learning behaviors, and comprehensive assessments to offer tailored recommendations and detailed performance reports, paving the way for more effective and efficient learning journeys.

Sustained model iterations

Within the multi-modal adaptive engine, Squirrel Ai’s R&D team introduced a new algorithm at this KDD conference—time series analysis. In their paper titled “Foundation Models for Time Series Analysis: A Tutorial and Survey,” the team systematically discussed the application of large models in time series analysis.

Specifically, the paper examines the application of models in education, including their role in educational time-series data analysis. Time series analysis is increasingly being applied in educational scenarios, allowing for the prediction of student learning progress and the optimization of teaching strategies through the analysis of student behavior data, test scores, and learning habits. By pre-training on large-scale educational datasets, GenAI for time series analysis can better capture complex temporal dependencies and nonlinear relations, enabling optimized prediction and classification performance across multiple educational contexts. The paper also identifies several potential avenues for future research, such as leveraging multimodal data (text, images, speech) to further enhance model generalization capabilities and using self-supervised learning techniques to reduce reliance on labeled data. These endeavors not only help improve the accuracy and efficiency of time series analysis, but also provide a solid technological foundation for personalized and intelligent adaptive education.

Squirrel Ai’s engagement with top scholars from around the world at the KDD conference reflects the company’s comprehensive strengths spanning academia, research, and business. As the age of AI fully unfolds, we hope to see more Chinese companies participating in such top-tier summits.

AI is approaching the ideal educational scenario

The famous educator Vasily Sukhomlinsky once said, “Among the thousands of students who have passed through my hands, it is not the model students who left the deepest impression, but the ones who were unique and different.”

In the evolving landscape of AI-driven education, one of the most promising developments is the realization of the long-held dream of “a tutor for every child.” This ideal, once distant, is now within reach. At this stage, perhaps AI’s greatest contribution to humanity lies not in the delivery of fragmented facts, but in its ability to unlock deeper learning. By the time students graduate, they will leave not just with knowledge and skills, but with a lifelong hunger for learning.

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SOURCE Squirrel Ai Learning

Technology

10x Genomics Reports First Quarter 2026 Financial Results

Published

57 minutes ago

May 7, 2026

PLEASANTON, Calif., May 7, 2026 /PRNewswire/ — 10x Genomics, Inc. (Nasdaq: TXG), a leader in single cell and spatial biology, today reported financial results for the first quarter ended March 31, 2026.

Recent Updates

Revenue was $150.8 million for the first quarter of 2026, representing a 3% decrease over the corresponding period of 2025. Excluding $16.8 million related to one-time license and royalty revenue in the first quarter of 2025, revenue increased 9% over the corresponding period of 2025.Launched Atera, a new platform to redefine how biology is measured and understood. Atera was engineered to deliver spatial whole-transcriptome analysis with single-cell sensitivity at unprecedented scale. The Company expects to start shipping Atera in the second half of 2026.Announced a partnership with Bioptimus, a global AI biotech company, to launch STELA, a multinational spatial data generation initiative to create foundational datasets connecting underlying biology with disease outcomes. The initiative is starting this effort on our Xenium platform and plans to expand to Atera over time.Ended the first quarter of 2026 with cash and cash equivalents and marketable securities of $539.8 million, representing a $112.9 million increase from March 31, 2025.

“We had a solid start to the year, with double-digit growth in Single Cell consumables reaction volumes and double-digit growth in Spatial consumables revenue,” said Serge Saxonov, Co-founder and CEO of 10x Genomics. “The biggest highlight is our recent launch of Atera, which represents the most significant product introduction in our history. We are extremely encouraged by the extraordinary early customer response.”

First Quarter 2026 Financial Results

Revenue was $150.8 million for the first quarter of 2026, a 3% decrease from the corresponding period of 2025. Excluding $16.8 million related to a patent litigation settlement recognized in the first quarter of 2025, revenue increased 9% over the corresponding period of 2025.

Gross margin was 70% for the first quarter of 2026, as compared to 68% for the corresponding prior year period. The increase in gross margin was primarily due to lower warranty costs and lower inventory write-downs, partially offset by a decrease in license and royalty revenue reflecting a non-recurring royalty benefit recognized in the first quarter of 2025.

Operating expenses were $123.2 million for the first quarter of 2026, a 15% decrease from $144.8 million for the corresponding prior year period. The decrease was primarily driven by lower outside legal expenses and personnel expenses, partially offset by a non-recurring gain on settlement of $9.2 million recognized in the first quarter of 2025.

Operating loss was $17.0 million for the first quarter of 2026, as compared to operating loss of $39.3 million for the corresponding prior year period.

Net loss was $13.5 million for the first quarter of 2026, as compared to a net loss of $34.4 million for the corresponding prior year period.

Cash and cash equivalents and marketable securities were $539.8 million as of March 31, 2026.

2026 Financial Guidance

10x Genomics is maintaining its full year 2026 revenue guidance of $600 million to $625 million. Excluding the non-recurring license and royalty revenue related to patent litigation settlements in 2025, this represents 0% to 4% growth over full year 2025.

Webcast and Conference Call Information

10x Genomics will host a conference call to discuss the first quarter 2026 financial results, business developments and outlook after market close on Thursday, May 7, 2026 at 1:30 PM Pacific Time / 4:30 PM Eastern Time. A webcast of the conference call can be accessed at http://investors.10xgenomics.com. The webcast will be archived and available for replay at least 45 days after the event.

About 10x Genomics

10x Genomics is a life science technology company building products to accelerate the mastery of biology and advance human health. Our integrated research solutions include instruments, consumables and software for single cell and spatial biology, which help academic and translational researchers and biopharmaceutical companies understand biological systems at a resolution and scale that matches the complexity of biology. Our products are behind breakthroughs in oncology, immunology, neuroscience and more, fueling powerful discoveries that are transforming the world’s understanding of health and disease. To learn more, visit 10xgenomics.com or connect with us on LinkedIn, X, Facebook, Bluesky or YouTube.

Forward Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 as contained in Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections. All statements included in this press release, other than statements of historical facts, may be forward-looking statements. Forward-looking statements generally can be identified by the use of forward-looking terminology such as “may,” “might,” “will,” “should,” “expect,” “plan,” “outlook,” “anticipate,” “could,” “intend,” “target,” “project,” “contemplate,” “believe,” “see,” “estimate,” “predict,” “potential,” “would,” “likely,” “seek” or “continue” or the negatives of these terms or variations of them or similar terminology, but the absence of these words does not mean that a statement is not forward-looking. These forward-looking statements include statements regarding 10x Genomics, Inc.’s products, services, business strategy, collaborations and opportunities and 10x Genomics, Inc.’s financial performance and results of operations, including expectations regarding revenue and guidance. These statements are based on management’s current expectations, forecasts, beliefs, estimates, assumptions and information currently available to management. Actual outcomes and results could differ materially from these statements due to a number of factors and such statements should not be relied upon as representing 10x Genomics, Inc.’s views as of any date subsequent to the date of this press release. 10x Genomics, Inc. disclaims any obligation to update any forward-looking statements provided to reflect any change in 10x Genomics’ expectations or any change in events, conditions or circumstances on which any such statement is based, except as required by law. The material risks and uncertainties that could affect 10x Genomics, Inc.’s financial and operating results and cause actual results to differ materially from those indicated by the forward-looking statements made in this press release include those discussed under the captions “Risk Factors” and “Management’s Discussion and Analysis of Financial Condition and Results of Operations” in the company’s most recently-filed 10-K for the fiscal year ended December 31, 2025 filed on February 12, 2026 and the company’s quarterly report on Form 10-Q for the quarter ended March 31, 2026 to be filed with the U.S. Securities and Exchange Commission (“SEC”), and elsewhere in the documents 10x Genomics, Inc. files with the SEC from time to time.

Disclosure Information

10x Genomics uses filings with the Securities and Exchange Commission, its website (www.10xgenomics.com), press releases, public conference calls, public webcasts and its social media accounts as means of disclosing material non-public information and for complying with its disclosure obligations under Regulation FD.

Contacts

Investors: investors@10xgenomics.com

Media: media@10xgenomics.com

10x Genomics, Inc.

Condensed Consolidated Statements of Operations

(Unaudited)

(In thousands, except share and per share data)

Three Months Ended
March 31,

2026

2025

Products and services revenue

$ 149,896

$ 137,823

License and royalty revenue

947

17,060

Revenue (1)

150,843

154,883

Cost of products and services revenue (2)

44,665

49,438

Gross profit

106,178

105,445

Operating expenses:

Research and development (2)

56,847

64,245

Selling, general and administrative (2)

66,377

89,728

Gain on settlement

—

(9,200)

Total operating expenses

123,224

144,773

Loss from operations

(17,046)

(39,328)

Other income (expense):

Interest income

5,014

3,686

Other income (expense), net

(815)

2,136

Total other income

4,199

5,822

Loss before provision for income taxes

(12,847)

(33,506)

Provision for income taxes

623

852

Net loss

$ (13,470)

$ (34,358)

Net loss per share, basic and diluted

$ (0.10)

$ (0.28)

Weighted-average shares used to compute net loss per share, basic and diluted

128,291,153

122,606,091

__________________________

(1)

The following table represents total revenue by source for the periods indicated (in thousands). Spatial includes the Company’s Visium and Xenium products:

Three Months Ended
March 31,

2026

2025

Instruments

Single Cell

$ 5,223

$ 5,913

Spatial

6,039

8,902

Total instruments revenue

11,262

14,815

Consumables

Single Cell

88,894

84,109

Spatial

40,907

31,247

Total consumables revenue

129,801

115,356

Services

8,833

7,652

Products and services revenue

149,896

137,823

License and royalty revenue

947

17,060

Total revenue

$ 150,843

$ 154,883

(1)

The following table presents revenue by geography based on the location of the customer for the periods indicated (in thousands):

Three Months Ended
March 31,

2026

2025

Americas

United States*

$ 76,693

$ 86,818

Americas (excluding United States)

3,406

3,752

Total Americas

80,099

90,570

Europe, Middle East and Africa

36,852

31,895

Asia-Pacific

China

15,837

16,883

Asia-Pacific (excluding China)

18,055

15,535

Total Asia-Pacific

33,892

32,418

Total revenue

$ 150,843

$ 154,883

Includes license and royalty revenue.

(2)

Includes stock-based compensation expense as follows:

Three Months Ended
March 31,

(in thousands)

2026

2025

Cost of revenue

$ 1,918

$ 2,481

Research and development

10,695

14,106

Selling, general and administrative

10,029

14,489

Total stock-based compensation expense

$ 22,642

$ 31,076

10x Genomics, Inc.

Condensed Consolidated Balance Sheets

(Unaudited)

(In thousands)

March 31,
2026

December 31,
2025

Assets

Current assets:

Cash and cash equivalents

$ 490,285

$ 473,966

Marketable securities

49,563

49,443

Accounts receivable, net

39,031

47,013

Other receivables

17,106

35,480

Inventory

53,487

56,341

Prepaid expenses and other current assets

20,261

22,208

Total current assets

669,733

684,451

Property and equipment, net

220,591

226,711

Operating lease right-of-use assets

58,390

60,450

Goodwill

4,511

Intangible assets, net

59,910

62,329

Other noncurrent assets

2,624

2,913

Total assets

$ 1,015,759

$ 1,041,365

Liabilities and stockholders’ equity

Current liabilities:

Accounts payable

$ 17,425

$ 12,733

Accrued compensation and related benefits

21,506

42,500

Accrued expenses and other current liabilities

33,680

39,971

Deferred revenue

24,342

23,902

Operating lease liabilities

11,330

10,985

Contingent consideration, current

5,315

23,363

Total current liabilities

113,598

153,454

Contingent consideration, noncurrent

1,222

1,237

Operating lease liabilities, noncurrent

70,059

73,376

Deferred revenue, noncurrent

10,138

10,501

Other noncurrent liabilities

6,418

6,471

Total liabilities

201,435

245,039

Commitments and contingencies

Stockholders’ equity:

Preferred stock

—

Common stock

Additional paid-in capital

2,338,269

2,306,690

Accumulated deficit

(1,524,061)

(1,510,591)

Accumulated other comprehensive income

114

225

Total stockholders’ equity

814,324

796,326

Total liabilities and stockholders’ equity

$ 1,015,759

$ 1,041,365

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SOURCE 10x Genomics, Inc.

Technology

OUTFRONT Media Announces Quarterly Dividend

Published

57 minutes ago

May 7, 2026

NEW YORK, May 7, 2026 /PRNewswire/ — OUTFRONT Media Inc. (NYSE: OUT) announced today that its board of directors has declared a quarterly cash dividend on the Company’s common stock of $0.30 per share payable on June 30, 2026, to shareholders of record at the close of business on June 5, 2026.

About OUTFRONT Media Inc.
OUTFRONT is one of the largest and most trusted out-of-home media companies in the U.S., helping brands connect with audiences in the moments and environments that matter most. As OUTFRONT evolves, it’s defining a new era of in-real-life (IRL) marketing, turning public spaces into platforms for creativity, connection, and cultural relevance. With a nationwide footprint across billboards, digital displays, transit systems, and other out-of-home formats, OUTFRONT turns creative into powerful real-world experiences. Its in-house agency, OUTFRONT STUDIOS, and award-winning innovation team, XLabs, deliver standout storytelling, supported by advanced technology and data tools that can drive measurable impact.

Contacts:

Investors

Media

Stephan Bisson

Courtney Richards

Investor Relations

Events & Communications

(212) 297-6573

(646) 876-9404

stephan.bisson@outfront.com

courtney.richards@outfront.com

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SOURCE OUTFRONT Media Inc.

Technology

OUTFRONT Media Reports First Quarter 2026 Results

Published

57 minutes ago

May 7, 2026

Revenues of $429.6 million

Operating income of $55.9 million

Net income attributable to OUTFRONT Media Inc. of $19.1 million

Adjusted OIBDA of $100.4 million

AFFO attributable to OUTFRONT Media Inc. of $61.0 million

Quarterly dividend of $0.30 per share, payable June 30, 2026

NEW YORK, May 7, 2026 /PRNewswire/ — OUTFRONT Media Inc. (NYSE: OUT) today reported results for the quarter ended March 31, 2026.

“Our first quarter results demonstrate our continued strong performance, with revenue, OIBDA, and AFFO all exceeding our guidance,” said Nick Brien, Chief Executive Officer of OUTFRONT Media. “Importantly, this exceptional performance was driven by strong results across our entire business, with billboard and transit both contributing to this success.”

Three Months Ended
March 31,

$ in Millions, except per share amounts

2026

2025

Revenues

$429.6

$390.7

Operating income

55.9

13.9

Adjusted OIBDA

100.4

64.2

Net income (loss) before allocation to redeemable and non-redeemable
noncontrolling interests

19.3

(20.7)

Net income (loss)1

19.1

(20.6)

Net income (loss) per share1,2,3

$0.11

($0.14)

Funds From Operations (FFO)1

63.5

26.5

Adjusted FFO (AFFO)1

61.0

27.1

Shares outstanding3

177.1

166.4

Notes: See exhibits for reconciliations of non-GAAP financial measures; 1) References to “Net income (loss)”, “FFO” and “AFFO” mean “Net income (loss) attributable to OUTFRONT Media Inc.”, “FFO attributable to OUTFRONT Media Inc.” and “AFFO attributable to OUTFRONT Media Inc.,” respectively; 2) References to “per share” mean per common share for diluted earnings per weighted average share; 3) Diluted weighted average shares outstanding.

First Quarter 2026 Results

Consolidated Results
Reported revenues of $429.6 million increased $38.9 million, or 10.0%, for the first quarter of 2026 as compared to the same prior-year period.

Total operating expenses of $227.5 million increased $6.2 million, or 2.8%, compared to the same prior-year period, due primarily to higher variable billboard property lease expenses, higher transit franchise costs, including higher guaranteed minimum annual payments to the New York Metropolitan Transportation Authority (the “MTA”) due to inflation, higher production expenses, and higher maintenance and utilities costs, partially offset by the impact of lost billboards in the period.

Selling, General and Administrative expenses (“SG&A”) of $107.3 million decreased $7.4 million, or 6.5%, compared to the same prior-year period, due primarily to lower compensation-related expenses, including severance and salaries, and lower credit card usage by customers, partially offset by higher professional fees, including software and technology expenses, a higher allowance for bad debt and higher client entertainment expenses.

Adjusted OIBDA of $100.4 million increased $36.2 million, or 56.4%, compared to the same prior-year period.

Segment Results

Billboard
Reported billboard segment revenues of $332.9 million increased $22.2 million, or 7.1%, compared to the same prior-year period, due primarily to higher proceeds from condemnations and an increase in average revenue per display (yield), including the impact of programmatic platforms on digital billboard revenues, partially offset by lost billboards in the period.

Operating expenses increased $3.5 million, or 2.4%, due primarily to higher variable billboard property lease costs, higher maintenance and utilities, higher site-related costs, and higher compensation-related expenses, partially offset by the impact of lost billboards in the period.

SG&A expenses increased $1.3 million, or 1.9%, due primarily to higher professional fees, including software and technology expenses, and a higher allowance for bad debt, partially offset by lower credit card usage by customers and lower compensation-related expenses.

Adjusted OIBDA of $116.4 million increased $17.4 million, or 17.6%, compared to the same prior-year period.

Transit
Reported transit segment revenues of $95.0 million increased $17.3 million, or 22.3%, compared to the same prior-year period, due primarily to an increase in average revenue per display (yield), partially offset by the impact of new and lost transit franchise contracts.

Operating expenses increased $3.0 million, or 4.0%, due primarily to higher guaranteed minimum annual payments to the MTA due to inflation, higher display production costs, and higher posting and rotation costs.

SG&A expenses increased $1.5 million, or 8.7%, due primarily to higher compensation-related expenses, including severance and commissions, higher professional fees, including higher software and technology expenses, partially offset by lower credit card usage by customers.

Adjusted OIBDA loss decreased $12.8 million, or 90.1%, compared to the same prior-year period.

Other
Reported revenues decreased $0.6 million, or 26.1%, operating expenses decreased $0.3 million, or 16.7%, and Adjusted OIBDA decreased $0.3 million, or 60.0%, compared to the same prior-year period, due primarily to a decrease in third-party digital equipment sales.

Corporate
Corporate expenses, excluding stock-based compensation, decreased $6.3 million, or 29.9%, compared to the same prior-year period to $14.8 million, due primarily to lower compensation-related expenses, including severance, and lower professional fees, including fees related to a management consulting project.

Interest Expense
Net interest expense in the first quarter of 2026 was $36.0 million, including amortization of deferred financing costs of $1.4 million, as compared to $36.0 million, including amortization of deferred financing costs of $1.5 million, in the same prior-year period. The weighted average cost of debt was 5.3% as of March 31, 2026 and 5.4% as of March 31, 2025.

Income Taxes
The provision for income taxes decreased $0.1 million, or 20.0%, in the first quarter of 2026 compared to the same prior-year period. Cash paid for income taxes in the three months ended March 31, 2026 was $0.4 million.

Net Income Attributable to OUTFRONT Media Inc.
Net income attributable to OUTFRONT Media Inc. was $19.1 million in the first quarter of 2026 compared to a Net loss attributable to OUTFRONT Media Inc. of $20.6 million in the same prior-year period. Diluted weighted average shares outstanding were 177.1 million for the first quarter of 2026 compared to 166.4 million for the same prior-year period. Net income per common share for diluted earnings per weighted average share was $0.11 in the first quarter of 2026 compared to a Net loss per common share for diluted earnings per weighted average share of $0.14 in the same prior-year period.

FFO
FFO attributable to OUTFRONT Media Inc. was $63.5 million in the first quarter of 2026, an increase of $37.0 million, or 139.6%, from the same prior-year period, driven primarily by higher Adjusted OIBDA.

AFFO
Starting at the end of 2025, we modified our calculation of AFFO to include amortization of direct lease acquisition costs instead of cash paid for direct lease acquisition costs, as management believes that this calculation of AFFO is a more appropriate measure of performance period-over-period and consistent with how we calculate FFO. Accordingly, relevant prior periods have been recast to conform to this presentation.

AFFO attributable to OUTFRONT Media Inc. was $61.0 million in the first quarter of 2026, an increase of $33.9 million, or 125.1%, from the same prior-year period, due primarily to higher Adjusted OIBDA and a higher non-cash effect of straight-line rent, partially offset by lower equity earnings.

Cash Flow & Capital Expenditures
Net cash flow provided by operating activities of $75.3 million for the three months ended March 31, 2026, increased $41.7 million, or 124.1%, compared to $33.6 million in the same prior-year period, due primarily to higher net income, as adjusted for non-cash items, the timing of accounts receivables and a decrease in accounts payable and accrued expenses, partially offset by a decrease in deferred revenues. Total capital expenditures increased $6.9 million, or 40.1%, to $24.1 million for the three months ended March 31, 2026, compared to the same prior-year period, due primarily to increased growth in digital displays, increased maintenance spending for billboard display upgrades and increased spending for safety-related projects.

Dividends
In the three months ended March 31, 2026, we paid cash dividends of $53.4 million on our common stock and vested restricted share units granted to employees. We announced on May 7, 2026, that our board of directors has approved a quarterly cash dividend on our common stock of $0.30 per share payable on June 30, 2026, to stockholders of record at the close of business on June 5, 2026.

Balance Sheet and Liquidity
As of March 31, 2026, our liquidity position included unrestricted cash of $67.2 million and $494.9 million of availability under our $500.0 million revolving credit facility, net of $5.1 million of issued letters of credit against the letter of credit facility sublimit under the revolving credit facility, and $150.0 million of additional availability under our accounts receivable securitization facility. During the three months ended March 31, 2026, no shares of our common stock were sold under our at-the-market equity offering program, of which $232.5 million remains available. Total indebtedness as of March 31, 2026 was $2.6 billion, excluding $14.8 million of deferred financing costs, and includes a $500.0 million term loan, $450.0 million of senior secured notes and $1.7 billion of senior unsecured notes.

Conference Call
We will host a conference call to discuss the results on May 7, 2026, at 4:30 p.m. Eastern Time. The conference call numbers are 833-461-5787 (U.S. callers) and 585-542-9983 (International callers) and the passcode for both is 404991578. Live and replay versions of the conference call will be webcast in the Investor Relations section of our website, www.outfront.com.

Supplemental Materials
In addition to this press release, we have provided a supplemental investor presentation which can be viewed on our website, www.outfront.com.

Contacts:

Investors

Media

Stephan Bisson

Courtney Richards

Investor Relations

Events & Communications

(212) 297-6573

(646) 876-9404

stephan.bisson@outfront.com

courtney.richards@outfront.com

Non-GAAP Financial Measures
In addition to the results prepared in accordance with generally accepted accounting principles in the United States (“GAAP”) provided throughout this document, this document and the accompanying tables include non-GAAP financial measures as described below. We calculate and define “Adjusted OIBDA” as operating income (loss) before depreciation, amortization, net (gain) loss on dispositions and stock-based compensation. We calculate Adjusted OIBDA margin by dividing Adjusted OIBDA by total revenues. Adjusted OIBDA and Adjusted OIBDA margin are among the primary measures we use for managing our business, evaluating our operating performance and planning and forecasting future periods, as each is an important indicator of our operational strength and business performance. Our management believes users of our financial data are best served if the information that is made available to them allows them to align their analysis and evaluation of our operating results along the same lines that our management uses in managing, planning and executing our business strategy. Our management also believes that the presentations of Adjusted OIBDA and Adjusted OIBDA margin, as supplemental measures, are useful in evaluating our business because eliminating certain non-comparable items highlight operational trends in our business that may not otherwise be apparent when relying solely on GAAP financial measures. It is management’s opinion that these supplemental measures provide users of our financial data with an important perspective on our operating performance and also make it easier for users of our financial data to compare our results with other companies that have different financing and capital structures or tax rates. When used herein, references to “FFO” and “AFFO” mean “FFO attributable to OUTFRONT Media Inc.” and “AFFO attributable to OUTFRONT Media Inc.,” respectively. We calculate FFO in accordance with the definition established by the National Association of Real Estate Investment Trusts (“NAREIT”). FFO reflects net income (loss) attributable to OUTFRONT Media Inc. adjusted to exclude gains and losses from the sale of real estate assets, depreciation and amortization of real estate assets, amortization of direct lease acquisition costs and the same adjustments for our equity-based investments and redeemable and non-redeemable noncontrolling interests, as well as the related income tax effect of adjustments, as applicable. We calculate AFFO as FFO adjusted to include amortization of direct lease acquisition costs as such costs are generally amortized over a period ranging from four weeks to one year and therefore are incurred on a regular basis. AFFO also includes cash paid for maintenance capital expenditures since these are routine uses of cash that are necessary for our operations. In addition, AFFO excludes certain non-cash items, including non-real estate depreciation and amortization, stock-based compensation expense, accretion expense, the non-cash effect of straight-line rent, amortization of deferred financing costs and the same adjustments for our redeemable and non-redeemable noncontrolling interests, along with the non-cash portion of income taxes, and the related income tax effect of adjustments, as applicable. We use FFO and AFFO measures for managing our business and for planning and forecasting future periods, and each is an important indicator of our operational strength and business performance, especially compared to other real estate investment trusts (“REITs”). Our management believes users of our financial data are best served if the information that is made available to them allows them to align their analysis and evaluation of our operating results along the same lines that our management uses in managing, planning and executing our business strategy. Our management also believes that the presentations of FFO and AFFO, as supplemental measures, are useful in evaluating our business because adjusting results to reflect items that have more bearing on the operating performance of REITs highlight trends in our business that may not otherwise be apparent when relying solely on GAAP financial measures. It is management’s opinion that these supplemental measures provide users of our financial data with an important perspective on our operating performance and also make it easier to compare our results to other companies in our industry, as well as to REITs. Since Adjusted OIBDA, Adjusted OIBDA margin, FFO and AFFO are not measures calculated in accordance with GAAP, they should not be considered in isolation of, or as a substitute for, operating income (loss) and net income (loss) attributable to OUTFRONT Media Inc., the most directly comparable GAAP financial measures, as indicators of operating performance. These measures, as we calculate them, may not be comparable to similarly titled measures employed by other companies. In addition, these measures do not necessarily represent funds available for discretionary use and are not necessarily a measure of our ability to fund our cash needs.

Please see Exhibits 4-5 of this release for a reconciliation of the above non-GAAP financial measures to the most directly comparable GAAP financial measures.

Cautionary Statement Regarding Forward-Looking Statements
We have made statements in this document that are forward-looking statements within the meaning of the federal securities laws, including the Private Securities Litigation Reform Act of 1995. You can identify forward-looking statements by the use of forward-looking terminology such as “believes,” “expects,” “could,” “would,” “may,” “might,” “will,” “should,” “seeks,” “likely,” “intends,” “plans,” “projects,” “predicts,” “estimates,” “forecast” or “anticipates” or the negative of these words and phrases or similar words or phrases that are predictions of or indicate future events or trends and that do not relate solely to historical matters. You can also identify forward-looking statements by discussions of strategy, plans or intentions related to our capital resources, portfolio performance and results of operations. Forward-looking statements involve numerous risks and uncertainties and you should not rely on them as predictions of future events. Forward-looking statements depend on assumptions, data or methods that may be incorrect or imprecise and may not be able to be realized. We do not guarantee that the transactions and events described will happen as described (or that they will happen at all). The following factors, among others, could cause actual results and future events to differ materially from those set forth or contemplated in the forward-looking statements: declines in advertising and general economic conditions; competition; government regulation; our ability to operate our digital display platform; losses and costs resulting from recalls and product liability, warranty and intellectual property claims; our ability to obtain and renew key municipal contracts on favorable terms; taxes, fees and registration requirements; decreased government compensation for the removal of lawful billboards; content-based restrictions on outdoor advertising; seasonal variations; acquisitions and other strategic transactions that we may pursue could have a negative effect on our results of operations; dependence on our management team and other key employees; experiencing a cybersecurity incident; changes in regulations and consumer concerns regarding privacy, information security and data, or any failure or perceived failure to comply with these regulations or our internal policies; asset impairment charges for our long-lived assets and goodwill; environmental, health and safety laws and regulations; expectations relating to environmental, social and governance considerations; our substantial indebtedness; restrictions in the agreements governing our indebtedness; incurrence of additional debt; interest rate risk exposure from our variable-rate indebtedness; our ability to generate cash to service our indebtedness; cash available for distributions; hedging transactions; the ability of our board of directors to cause us to issue additional shares of stock without common stockholder approval; certain provisions of Maryland law may limit the ability of a third party to acquire control of us; our rights and the rights of our stockholders to take action against our directors and officers are limited; our failure to remain qualified to be taxed as a REIT; REIT distribution requirements; availability of external sources of capital; we may face other tax liabilities even if we remain qualified to be taxed as a REIT; complying with REIT requirements may cause us to liquidate investments or forgo otherwise attractive investments or business opportunities; our ability to contribute certain contracts to a taxable REIT subsidiary (“TRS”); our planned use of TRSs may cause us to fail to remain qualified to be taxed as a REIT; REIT ownership limits; complying with REIT requirements may limit our ability to hedge effectively; the ability of our board of directors to revoke our REIT election at any time without stockholder approval; the Internal Revenue Service may deem the gains from sales of our outdoor advertising assets to be subject to a 100% prohibited transaction tax; establishing operating partnerships as part of our REIT structure; and other factors described in our filings with the Securities and Exchange Commission (the “SEC”), including but not limited to the section entitled “Risk Factors” in our Annual Report on Form 10-K for the year ended December 31, 2025, filed with the SEC on February 26, 2026. All forward-looking statements in this document apply as of the date of this document or as of the date they were made and, except as required by applicable law, we disclaim any obligation to publicly update or revise any forward-looking statement to reflect changes in underlying assumptions or factors, of new information, data or methods, future events or other changes.

EXHIBITS

Exhibit 1: CONSOLIDATED STATEMENTS OF OPERATIONS
(Unaudited) See Notes on Page 14

Three Months Ended

March 31,

(in millions, except per share amounts)

2026

2025

Revenues

$ 429.6

$ 390.7

Expenses:

Operating

227.5

221.3

Selling, general and administrative

107.3

114.7

Net loss on dispositions

1.0

0.1

Depreciation

20.7

23.6

Amortization

17.2

17.1

Total expenses

373.7

376.8

Operating income

55.9

13.9

Interest expense, net

(36.0)

Income (loss) before provision for income taxes and equity in earnings of investee
companies

19.9

(22.1)

Provision for income taxes

(0.4)

(0.5)

Equity in earnings of investee companies, net of tax

(0.2)

1.9

Net income (loss) before allocation to redeemable and non-redeemable noncontrolling
interests

19.3

(20.7)

Net income (loss) attributable to redeemable and non-redeemable noncontrolling interests

0.2

(0.1)

Net income (loss) attributable to OUTFRONT Media Inc.

$ 19.1

$ (20.6)

Net income (loss) per common share:

Basic

$ 0.11

$ (0.14)

Diluted

$ 0.11

$ (0.14)

Weighted average shares outstanding:

Basic

175.5

166.4

Diluted

177.1

166.4

Exhibit 2: CONSOLIDATED STATEMENTS OF FINANCIAL POSITION
(Unaudited) See Notes on Page 14

As of

(in millions)

March 31,
2026

December 31,
2025

Assets:

Current assets:

Cash and cash equivalents

$ 67.2

$ 99.9

Receivables, less allowance ($25.0 in 2026 and $23.2 in 2025)

294.3

365.7

Prepaid lease and franchise costs

2.6

5.1

Prepaid MTA equipment deployment costs

0.2

—

Other prepaid expenses

25.6

21.9

Other current assets

11.6

11.1

Total current assets

401.5

503.7

Property and equipment, net

644.3

643.8

Goodwill

2,006.4

Intangible assets

603.6

612.0

Operating lease assets

1,553.8

1,521.5

Other assets

28.5

24.2

Total assets

$ 5,238.1

$ 5,311.6

Liabilities:

Current liabilities:

Accounts payable

$ 33.3

$ 50.2

Accrued compensation

42.4

72.3

Accrued interest

23.4

35.1

Accrued lease and franchise costs

62.7

72.2

Other accrued expenses

63.2

55.5

Deferred revenues

60.1

57.7

Short-term operating lease liabilities

179.5

172.9

Other current liabilities

27.6

29.4

Total current liabilities

492.2

545.3

Long-term debt, net

2,584.5

2,583.4

Asset retirement obligation

34.1

34.0

Operating lease liabilities

1,398.9

1,374.7

Other liabilities

39.2

40.3

Total liabilities

4,548.9

4,577.7

Commitments and contingencies

Redeemable noncontrolling interests

25.8

22.0

Stockholders’ equity:

Common stock (2026 – 450.0 shares authorized, and 176.1 shares issued and
outstanding; 2025 – 450.0 shares authorized, and 175.2 issued and outstanding)

1.8

Additional paid-in capital

2,604.6

2,619.3

Distribution in excess of earnings

(1,944.6)

(1,910.8)

Accumulated other comprehensive loss

0.1

Total stockholders’ equity

661.9

710.4

Noncontrolling interests

1.5

Total liabilities and equity

$ 5,238.1

$ 5,311.6

Exhibit 3: CONSOLIDATED STATEMENTS OF CASH FLOWS
(Unaudited) See Notes on Page 14

Three Months Ended

March 31,

(in millions)

2026

2025

Operating activities:

Net income (loss) attributable to OUTFRONT Media Inc.

$ 19.1

$ (20.6)

Adjustments to reconcile net income (loss) to net cash flow provided by operating activities:

Net income (loss) attributable to redeemable and non-redeemable noncontrolling interests

0.2

(0.1)

Depreciation and amortization

37.9

40.7

Stock-based compensation

5.6

9.5

Provision for doubtful accounts

2.2

1.5

Accretion expense

0.7

Net loss on dispositions

1.0

0.1

Equity in earnings of investee companies, net of tax

0.2

(1.9)

Distributions from investee companies

0.3

Amortization of deferred financing costs and debt discount and premium

1.4

1.5

Change in assets and liabilities, net of investing and financing activities:

Decrease in receivables

69.2

45.3

Increase in prepaid MTA equipment deployment costs

(0.2)

—

(Increase) decrease in prepaid expenses and other current assets

(3.5)

0.8

Decrease in accounts payable and accrued expenses

(57.1)

(67.8)

Increase in operating lease assets and liabilities

0.5

2.1

Increase in deferred revenues

2.4

16.7

Increase (decrease) in income taxes

—

0.5

Other, net

(4.6)

4.3

Net cash flow provided by operating activities

75.3

33.6

Investing activities:

Capital expenditures

(24.1)

(17.2)

Acquisitions

(8.1)

(5.7)

MTA franchise rights

(1.8)

(4.0)

Net proceeds from dispositions

—

0.7

Investment in investee companies

(4.0)

—

Return of investments in investee companies

—

1.5

Net cash flow used for investing activities

(38.0)

(24.7)

Financing activities:

Proceeds from borrowings under short-term debt facilities

—

50.0

Repayments of borrowings under short-term debt facilities

—

(10.0)

Taxes withheld for stock-based compensation

(16.6)

(12.3)

Dividends

(53.4)

(53.0)

Net cash flow used for financing activities

(70.0)

(25.3)

Exhibit 3: CONSOLIDATED STATEMENTS OF CASH FLOWS (Continued)
(Unaudited) See Notes on Page 14

Three Months Ended

March 31,

(in millions)

2026

2025

Net decrease in cash and cash equivalents

(32.7)

(16.4)

Cash and cash equivalents at beginning of period

99.9

46.9

Cash and cash equivalents at end of period

$ 67.2

$ 30.5

Supplemental disclosure of cash flow information:

Cash paid for income taxes

$ 0.4

$ —

Cash paid for interest

47.1

46.2

Non-cash investing and financing activities:

Accrued purchases of property and equipment

3.3

13.4

Accrued MTA franchise rights

1.9

1.6

Taxes withheld for stock-based compensation

2.8

2.6

Exhibit 4: SUPPLEMENTAL DISCLOSURES REGARDING NON-GAAP FINANCIAL INFORMATION
(Unaudited) See Notes on Page 14

Three Months Ended March 31, 2026

(in millions, except percentages)

Billboard

Transit

Other

Corporate

Consolidated

Revenues

$ 332.9

$ 95.0

$ 1.7

$ —

$ 429.6

Operating income (loss)

$ 82.5

$ (6.4)

$ 0.2

$ (20.4)

$ 55.9

Net loss on dispositions

0.9

0.1

—

1.0

Depreciation

18.1

2.6

—

20.7

Amortization

14.9

2.3

—

17.2

Stock-based compensation

—

5.6

Adjusted OIBDA

$ 116.4

$ (1.4)

$ 0.2

$ (14.8)

$ 100.4

Adjusted OIBDA margin

35.0 %

(1.5) %

11.8 %

23.4 %

Three Months Ended March 31, 2025

(in millions, except percentages)

Billboard

Transit

Other

Corporate

Consolidated

Revenues

$ 310.7

$ 77.7

$ 2.3

$ —

$ 390.7

Operating income (loss)

$ 61.0

$ (17.0)

$ 0.5

$ (30.6)

$ 13.9

Net (gain) loss on dispositions

0.7

(0.6)

—

0.1

Depreciation

21.6

2.0

—

23.6

Amortization

15.7

1.4

—

17.1

Stock-based compensation

—

9.5

Adjusted OIBDA

$ 99.0

$ (14.2)

$ 0.5

$ (21.1)

$ 64.2

Adjusted OIBDA margin

31.9 %

(18.3) %

21.7 %

16.4 %

Exhibit 5: SUPPLEMENTAL DISCLOSURES REGARDING NON-GAAP FINANCIAL MEASURES
(Unaudited) See Notes on Page 14

Three Months Ended

March 31,

(in millions)

2026

2025

Net income (loss) attributable to OUTFRONT Media Inc.

$ 19.1

$ (20.6)

Depreciation of billboard advertising structures

16.2

18.8

Amortization of real estate-related intangible assets

14.3

15.1

Amortization of direct lease acquisition costs

13.0

13.2

Net loss on disposition of real estate assets

1.0

0.1

Adjustment related to redeemable and non-redeemable noncontrolling interests

(0.1)

FFO attributable to OUTFRONT Media Inc.

$ 63.5

$ 26.5

Non-cash portion of income taxes

—

0.5

Cash paid for direct lease acquisition costs

(13.0)

(13.2)

Maintenance capital expenditures

(7.0)

(6.3)

Other depreciation

4.5

4.8

Other amortization

2.9

2.0

Stock-based compensation

5.6

9.5

Non-cash effect of straight-line rent

2.4

1.1

Accretion expense

0.7

Amortization of deferred financing costs

1.4

1.5

AFFO attributable to OUTFRONT Media Inc.(a)

$ 61.0

$ 27.1

Exhibit 6: SUPPLEMENTAL DISCLOSURES REGARDING NON-GAAP FINANCIAL MEASURES
(Unaudited) See Notes on Page 14

Three Months Ended

March 31,

(in millions)

2026

2025

Adjusted OIBDA

$ 100.4

$ 64.2

Interest expense, net, less amortization of deferred financing costs

(34.6)

(34.5)

Cash paid for income taxes

(0.4)

—

Maintenance capital expenditures

(7.0)

(6.3)

Equity in earnings of investee companies, net of tax

(0.2)

1.9

Non-cash effect of straight-line rent

2.4

1.1

Accretion expense

0.7

Adjustment related to redeemable and non-redeemable noncontrolling interests

(0.3)

—

AFFO attributable to OUTFRONT Media Inc.(a)

$ 61.0

$ 27.1

Exhibit 7: OPERATING EXPENSES

(Unaudited) See Notes on Page 14

Three Months Ended

March 31,

(in millions, except percentages)

2026

2025

Change

Operating expenses:

Billboard property lease

$ 111.3

$ 109.2

1.9 %

Transit franchise

59.7

58.0

2.9

Posting, maintenance and other

56.5

54.1

4.4

Total operating expenses

$ 227.5

$ 221.3

2.8

Exhibit 8: EXPENSES BY SEGMENT

(Unaudited) See Notes on Page 14

Three Months Ended

March 31,

(in millions, except percentages)

2026

2025

Change

Billboard:

Billboard property lease

$ 111.3

$ 109.2

1.9 %

Billboard posting, maintenance and other

37.1

35.7

3.9

Billboard operating expenses

$ 148.4

$ 144.9

2.4

Billboard SG&A expenses

$ 68.1

$ 66.8

1.9

Transit:

Transit franchise

$ 59.7

$ 58.0

2.9

Transit posting, maintenance and other

17.9

16.6

7.8

Transit operating expenses

$ 77.6

$ 74.6

4.0

Transit SG&A expenses

$ 18.8

$ 17.3

8.7

NOTES TO EXHIBITS

PRIOR PERIOD PRESENTATION CONFORMS TO CURRENT REPORTING CLASSIFICATIONS.

(a)

Starting at the end of 2025, we modified our calculation of AFFO to include amortization of direct lease acquisition costs instead of the cash paid for direct lease acquisition costs, as management believes that this calculation of AFFO is a more appropriate measure of performance period-over-period and consistent with how we calculate FFO. Accordingly, relevant prior periods have been recast to conform to this presentation.

* Calculation not meaningful.

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SOURCE OUTFRONT Media Inc.