Technology
Radware positioned as a Leader in the SPARK Matrix™: Distributed Denial of Service (DDoS) Mitigation, 2026 by QKS Group
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The QKS Group SPARK Matrix™ provides competitive analysis & ranking of the leading DDoS Mitigation vendors.Radware, with its comprehensive platform, received strong ratings across technology excellence and customer impact.
PUNE, India, Aug. 6, 2026 /PRNewswire/ — QKS Group announced today that it has named Radware, a global leader in AI and application security and delivery solutions for multi-cloud environments, as a leader in the SPARK Matrix™: Distributed Denial of Service (DDoS) Mitigation, 2026.
Lokesh Biswal, Analyst at QKS Group, states, “Radware is a compelling leader in hybrid DDoS mitigation and application security, distinguished by its behavioral detection engine, integrated cloud and appliance architecture, and strong managed response capabilities. The company is well positioned for large enterprises and service providers that need low-false-positive protection, rapid attack response, and unified control across network and application layers.”
QKS Group defines DDoS Mitigation as a set of tools and techniques that secure websites, applications, networks, servers, and IP addresses by deflecting various types of DDoS attacks including volume-based, protocol, and application-layer attacks from the network connected to the internet. DDoS mitigation platforms detect and absorb attack traffic, enforce rate controls, and redirect malicious flows away from protected resources through a combination of behavioural analytics, threat intelligence, and automated countermeasure deployment operating across multiple network and application layers.
Radware differentiates in DDoS mitigation by combining patented behavioral detection, hybrid on-prem and cloud deployment options, and managed expert support into one operating model, rather than relying on a single scrubbing layer or a purely signature-based approach. That matters because it lets Radware identify unknown or fast-changing attacks in real time, distinguish legitimate traffic spikes from true DDoS events, and escalate protection from inline appliances to cloud scrubbing when attack volume exceeds local capacity. Its behavioral engine is a core differentiator because it analyzes traffic patterns instead of depending only on known signatures, which helps it detect zero-day and multi-vector attacks earlier and with fewer false positives. In practical terms, that can be especially valuable during flash crowds, encrypted web floods, and bursty application-layer attacks where static rules often struggle.
The QKS Group SPARK Matrix™ includes a detailed analysis of the global market dynamics, major trends, vendor landscape, and competitive positioning. The study provides a competitive analysis and ranking of the Distributed Denial of Service (DDoS) Mitigation, 2026 providers in the form of the SPARK Matrix™. It also provides strategic information for users to evaluate different vendor capabilities, competitive differentiation, and market positions.
“We’re honored to be recognized as a Leader in the QKS Group SPARK Matrix for DDoS Mitigation,” said Connie Stack, Chief Growth Officer at Radware. “As AI transforms the threat landscape, organizations need protection that can adapt in real time to increasingly sophisticated and automated attacks. We believe this recognition reflects our continued innovation and commitment to helping customers build resilience against the most advanced DDoS threats.”
Additional Resources:
For more information about Radware, visit Here.SPARK Matrix™ Distributed Denial of Service (DDoS) Mitigation, 2026
About Radware
Radware is a global leader in application security and delivery solutions for multi-cloud environments. The company’s cloud application, infrastructure, API, and AI security solutions use AI-driven algorithms for precise, behavior-based, real-time protection against sophisticated web, application, and DDoS attacks, API abuse, business logic threats, and malicious bots. Radware delivers end-to-end API security, including discovery, posture management, testing, and runtime protection, along with advanced protection for AI agents and models. Enterprises and carriers worldwide rely on Radware to address evolving cyberthreats, protect their brands and business operations, and reduce costs. For more information, please visit the Radware website.
Mea Ccts:
Gina Sorice
Radware
ginaso@radware.com
About QKS Group
QKS Group is a global analyst and advisory firm helping enterprises, technology vendors, and investors make trusted, data-driven decisions. Our portfolio spans the flagship SPARK Matrix™ evaluation framework, SPARK Plus™ analyst advisory platform, QKS Intelligence™ for market and competitive tracking, and QKS Community™ for CXO leaders and practitioners. All offerings are powered by a Human-Intelligence-driven framework and QKS’s closed-loop research methodology – integrating expert-led insights, quantitative modeling, and continuous validation to deliver credible, outcome-focused intelligence.
For more available research, please visit Research
Media Contacts:
Anish
PR & Media Relations
QKS Group
5th Floor, Wing 2, Cluster C,
EON Free Zone, Kharadi,
Pune, India
Email: support@qksgroup.com
Content Source: https://qksgroup.com/newsroom/radware-positioned-as-a-leader-in-the-spark-matrix-distributed-denial-of-service-ddos-mitigation-2026-by-qks-group-1752
Connect with us on LinkedIn- https://www.linkedin.com/company/qksgroup/
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SOURCE QKS Group
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Technology
AGON by AOC Unveils New Gaming Monitors Built for Triple Refresh Rate Performance
Published
15 minutes agoon
August 6, 2026By
TAIPEI, Aug. 6, 2026 /PRNewswire/ — AGON by AOC, the world’s No.1 gaming monitor brand for seven consecutive years according to the 2025 IDC report, today announced three new G4 gaming monitors: the 31.5-inch curved CQ32G4Z and the 27-inch Q27G40ZE2 and Q27G41ZE2. Designed for gamers seeking exceptional speed, immersive visuals and versatile performance, the new lineup introduces innovative Triple Refresh Rate technology, delivering flexible display configurations that optimize gaming experiences across different genres while maintaining outstanding image quality and responsiveness.
“AGON by AOC’s Triple Refresh Rate monitors integrate exceptional speed, visual clarity and versatile performance in one device for all types of gamers,” said Lidong Yan, Vice President of AOC MNT BU Head. “Powered by exclusive Triple Refresh Rate technology and AMD FreeSync Premium featuring NVIDIA G-SYNC Compatible certification, these monitors deliver consistent responsiveness to keep gamers competitive in every match.”
The new G4 lineup supports three customizable refresh rate and resolution presets, allowing gamers to switch effortlessly between QHD 260Hz for detailed visuals, FHD 360Hz for ultra-smooth competitive gameplay and HD 500Hz for lightning-fast action and racing titles. Adaptive refresh rate switching enables users to tailor display performance according to different gaming scenarios, balancing visual fidelity and frame rate without compromising gameplay. Whether competing in esports tournaments, exploring immersive open-world adventures or enjoying everyday entertainment, gamers can instantly select the most suitable display mode to maximize both responsiveness and visual experience without complicated manual adjustments.
Each model features an ultra-fast 0.3ms MPRT response time to minimize motion blur and ghosting during fast-moving scenes. Combined with AMD FreeSync Premium and NVIDIA G-SYNC Compatible technologies, the monitors reduce screen tearing and deliver fluid, responsive gameplay with reliable performance throughout every match. Gamer-focused eye-protection features further enhance viewing comfort during extended gaming sessions.
Combining immersive design, flexible Triple Refresh Rate technology and premium gaming performance, the CQ32G4Z, Q27G40ZE2 and Q27G41ZE2 are ideal upgrades for esports competitors, gaming enthusiasts and everyday players alike. As the pioneer of Triple Refresh Rate display technology, AGON by AOC will continue expanding its portfolio with more innovative gaming monitors, reinforcing its leadership in gaming display innovation while driving the next generation of gaming displays through continuous innovation, broader product choices and technologies designed to meet the evolving needs of gamers worldwide.
For more information, please stay tuned to the official AOC website.
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Technology
Scaling Autonomous Freight: Inside Pony.ai’s Robotruck Business
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15 minutes agoon
August 6, 2026By
From Gen-4 heavy-duty trucks to L4 urban delivery vehicles, shared technology, automotive-grade production and industry partnerships are shaping the next phase of Pony.ai’s autonomous freight business
GUANGZHOU, CHINA, Aug. 6, 2026 /PRNewswire/ — At a media briefing on August 3, He Xing, Vice President of Pony.ai and Head of the company’s Robotruck business, discussed how nearly a decade of technology development in L4 autonomous driving is beginning to support broader commercial deployment in freight transportation.
Over the next two to three years, Pony.ai expects 500 to 1,000 Gen-4 autonomous heavy-duty trucks to be deployed across three primary scenarios in China: long-haul freight, bulk commodity transportation and port logistics. Pony.ai also expects light-duty trucks to scale faster, with a longer-term goal of reaching 100,000 L4 autonomous light-duty trucks by 2030.
The targets reflect several developments coming together: a more mature autonomous driving system, lower hardware costs, automotive-grade redundant vehicle platforms and deeper collaboration with vehicle manufacturers and logistics operators.
Why freight, and why now
Pony.ai began developing autonomous trucks in 2018. The first vehicles were largely hand-built prototypes. Subsequent generations moved progressively closer to automotive-grade production through partnerships with truck manufacturers. The question gradually shifted from whether the technology could work to where and under what conditions, it could create the most operational value.
Road freight presents a clear need. The industry faces persistent structural pressures, including a shortage of qualified heavy-duty truck drivers, an aging workforce and sharp fluctuations in demand during peak seasons. Long hours, overnight driving and demanding routes can also increase fatigue-related safety risks. L4 autonomy can help supplement freight capacity, particularly on repetitive routes and during overnight or peak-demand periods that are difficult to staff, while supporting safer, more consistent operations.
Turning that potential into scaled operations, however, requires more than technical capability. Autonomous driving systems must also be safe, reliable, ready for automotive-grade production and commercially viable at scale. For Pony.ai, the timing of large-scale deployment has therefore also depended on bringing down the cost of the autonomous driving system.
“We had been waiting for the right moment,” He said. “Our truck technology had already reached a high level, but the cost of building an L4 Robotruck remained high. The reduction in ADK costs benefited both heavy- and light-duty trucks. That is why we did not rush into large-scale production earlier.”
Pony.ai’s Gen-4 autonomous heavy-duty truck has reduced autonomous driving hardware costs by approximately 70% compared with the previous generation. Developed for automotive-grade mass production, the vehicle is designed for a service life of 20,000 operating hours or up to 1 million kilometers.
The Robotruck business has already moved beyond technology testing. As of November 2025, Pony.ai operated a fleet of around 200 trucks and had transported more than 1 billion ton-kilometers of freight. In the first quarter of 2026, Robotruck services generated US$10.2 million in revenue, up 31% from a year earlier, driven primarily by the expansion of commercial operations.
Two vehicle platforms across the freight network
Pony.ai’s current Robotruck strategy covers both heavy-duty trucks and light-duty trucks, reflecting the different roles they play across the freight network.
Heavy-duty trucks are designed primarily for transportation between logistics hubs, including long-haul highway freight, bulk commodity routes and port transportation. Pony.ai’s Gen-4 models are based on battery-electric platforms and support both single-vehicle autonomous operation and L4 platooning, depending on the requirements of each operating environment.
Production of the Gen-4 heavy-duty trucks is now underway. Vehicles are expected to roll off the production line in batches and enter commercial service across several use cases over the coming months.
Shenzhen’s Mawan Port will be among the first deployment sites. Pony.ai has secured a project there and expects to deploy dozens of Gen-4 Robotrucks for commercial operations. Ports represent one of the three priority scenarios for the platform, alongside highway freight and bulk commodity transportation in western China.
Light-duty trucks address a different part of the logistics chain. They are commonly used between urban distribution centers, retail stores, delivery outlets and cold-chain facilities—environments that overlap substantially with the complex urban road conditions in which Pony.ai’s Robotaxis already operate.
Pony.ai introduced its first L4 autonomous light-duty truck in April 2026. Co-developed with CATL and built on CATL’s Kunshi Chassis Platform, the vehicle uses automotive-grade components and a fully redundant safety architecture. It offers approximately 18 cubic meters of cargo space and is intended for both urban and intercity freight.
The first vehicles have now entered intensive road testing in operating environments provided by logistics partners. Initial use cases include express delivery, retail distribution and food and beverage cold-chain logistics. Pony.ai plans to pursue the regulatory approvals required for fully driverless operation as testing and validation progress.
Based on current operating assumptions, Pony.ai estimates that fully driverless light-duty trucks could reduce per-kilometer operating costs by 40% to 50% compared with conventional human-driven operations. The vehicle can also carry 2.6 times the cargo volume of mainstream low-speed autonomous delivery vehicles, while operating at speeds suitable for regular urban and intercity roads.
One Virtual Driver across vehicle types
Pony.ai’s approach is built around applying the same underlying Virtual Driver technology across Robotaxis, heavy-duty trucks and light-duty trucks.
The light-duty truck uses the same core technology stack as Pony.ai’s Gen-7 Robotaxi. Because the two platforms operate in many of the same urban environments, they can also share supporting infrastructure and operating capabilities, including charging, ground support, service centers, fleet management and remote assistance. Pony.ai estimates that the overall technological and operational synergies between the two platforms exceed 90%.
Heavy-duty trucks require more vehicle-specific adaptation. Their size, weight, mechanical structure and longer braking distances create different control requirements, while highway and bulk commodity routes introduce operating conditions not commonly encountered by passenger vehicles. Even so, the core capabilities used to understand traffic, interact with other road users and make driving decisions draw on the same underlying technology and development methodology.
Data and operating experience from the different vehicle platforms also contribute to a shared development loop. PonyWorld 2.0, Pony.ai’s proprietary world model, is designed to identify areas where the Virtual Driver requires further improvement, guide targeted data collection and support more efficient training and evaluation.
“Autonomous driving has to progress step by step—from technology driving product development, to the product enabling a business model, and ultimately to that model reshaping the industry,” He said.
The shared safety architecture is equally important. Pony.ai’s current Robotaxi, heavy-duty truck and light-duty truck platforms use redundant systems covering steering, braking, communication, power supply, computing and sensing. This fail-operational design allows a vehicle to maintain core driving functions and select an appropriate location to pull over safely if certain hardware or software components fail.
A partner-led route to scale
Scaling autonomous freight requires more than producing vehicles. It also requires access to freight demand, established operating networks, maintenance capabilities and infrastructure such as logistics hubs and charging facilities.
Pony.ai has therefore built its Robotruck business around partnerships with vehicle manufacturers and logistics operators. Its Gen-4 heavy-duty trucks were developed in collaboration with manufacturers including SANY Truck, while the light-duty truck was co-developed with CATL. Pony.ai also works with Sinotrans across long-haul freight and urban logistics scenarios.
The commercial model can vary depending on the maturity and requirements of a project. In some earlier-stage deployments, Pony.ai participates more directly in vehicle ownership and freight operations through a Transportation-as-a-Service, or TaaS, model. This allows the company and its partners to validate operating performance and unit economics in real commercial environments.
As the market matures, Pony.ai expects partner-led deployment under an Autonomous Driving-as-a-Service, or ADaaS, model to play a larger role. Under this model, vehicle manufacturers produce the trucks, logistics partners own and operate the fleets, and Pony.ai provides its Virtual Driver and related technical services. Some port projects are already beginning to adopt this approach.
“We are not here to run e-commerce or postal services ourselves,” He said. “Our role is to become a partner to logistics companies and integrate into the systems they already use to serve their customers.”
This structure allows each participant to focus on its established strengths: vehicle manufacturers on automotive-grade production and sales, logistics companies on freight demand and fleet operations, and Pony.ai on autonomous driving technology.
The next phase
The next phase of Pony.ai’s Robotruck business will focus on ramping up production of the Gen-4 heavy-duty truck and deploying it in commercial projects, while completing the testing and regulatory work required to deploy the light-duty truck at scale.
In heavy-duty trucking, Pony.ai will initially focus on highway freight corridors, bulk commodity routes and ports. The company is also exploring an innovative model for highway transportation, which could simplify trailer handoffs between autonomous highway operations and human-driven first- and last-mile delivery.
For light-duty trucks, the immediate focus is to work with logistics partners to validate operations in express delivery, retail distribution and cold-chain transportation. The ability to operate overnight when drivers are more difficult to recruit and fatigue-related safety risks are higher could become an early commercial use case.
Pony.ai also sees potential for autonomous trucks in overseas markets, particularly at ports and other well-defined logistics sites where driver shortages and labor costs strengthen the economics of automation.
For Pony.ai, the objective is not simply to place more autonomous trucks on the road. It is to build a repeatable operating model in which technology, vehicles, infrastructure and freight demand can scale together.
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SOURCE Pony AI Inc.
Technology
EPAM Reports Results for Second Quarter 2026
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15 minutes agoon
August 6, 2026By
Second quarter revenues of $1.415 billion, up 4.5% year-over-yearSecond quarter GAAP income from operations increased to 10.8% of revenues from 9.3%, and non-GAAP income from operations increased to 16.4% of revenues from 15.0%, on a year-over-year basisSecond quarter GAAP diluted EPS of $1.97, an increase of $0.41, or 26.3%, and non-GAAP diluted EPS of $3.38, an increase of $0.61, or 22.0%, on a year-over-year basisContinued to return capital to shareholders, spending $85 million in the second quarter on share repurchases and $409 million since the beginning of the yearFor the full year, EPAM now expects the year-over-year revenue growth rate to be in the range of 3.2% to 4.2% and now expects the year-over-year revenue growth rate on an organic constant currency basis to be in the range of 2.0% to 3.0%For the full year, EPAM now expects its GAAP diluted EPS to be in the range of $8.22 to $8.38, and non-GAAP diluted EPS to be in the range of $13.08 to $13.24
NEWTOWN, Pa., Aug. 6, 2026 /PRNewswire/ — EPAM Systems, Inc. (NYSE: EPAM), a leading digital and AI transformation company, today announced results for its second quarter ended June 30, 2026.
“Our second quarter results came in better than expected with continued AI-native momentum and ongoing profitability improvement, reflecting solid execution against our multi-year strategy,” said Balazs Fejes, CEO & President, EPAM. “As we continue to expand our strategic partnerships and leverage our 30+ years of engineering DNA to build the next generation forward-deployed engineering organization, our conviction in the strategy, the team and our commercial transformation is high.”
Second Quarter 2026 Highlights
Revenues increased to $1.415 billion, a year-over-year increase of $61.3 million, or 4.5%. On an organic constant currency basis, revenues were up 3.4% compared to the second quarter of 2025;GAAP income from operations was $152.2 million, an increase of $25.7 million, or 20.4%, compared to $126.5 million in the second quarter of 2025;Non-GAAP income from operations was $232.7 million, an increase of $29.8 million, or 14.7%, compared to $202.9 million in the second quarter of 2025;Diluted earnings per share (“EPS”) on a GAAP basis was $1.97, an increase of $0.41, or 26.3%, compared to $1.56 in the second quarter of 2025; andNon-GAAP diluted EPS was $3.38, an increase of $0.61, or 22.0%, compared to $2.77 in the second quarter of 2025.
Cash Flow and Other Metrics
Cash used in operating activities was $38.8 million for the first six months of 2026, compared to cash provided by operating activities of $77.4 million for the first six months of 2025;Cash, cash equivalents and restricted cash totaled $794.3 million as of June 30, 2026, a decrease of $507.1 million, or 39.0%, from $1.301 billion as of December 31, 2025;The Company spent $409.0 million on share repurchases during the first six months of 2026 under its share repurchase program, which included $85.0 million during the second quarter; andTotal headcount was approximately 62,850 as of June 30, 2026. Included in this number were approximately 56,650 delivery professionals, an increase of 0.3% from March 31, 2026.
2026 Outlook – Full Year and Third Quarter
Full Year
EPAM expects the following for the full year:
The Company now expects the year-over-year revenue growth rate to be in the range of 3.2% to 4.2% for 2026 and now expects the year-over-year revenue growth rate on an organic constant currency basis to be in the range of 2.0% to 3.0%;For the full year, EPAM now expects GAAP income from operations to be in the range of 10.5% to 11.0% of revenues and non-GAAP income from operations to be in the range of 15.5% to 16.0% of revenues;The Company continues to expect its GAAP effective tax rate to be approximately 27% and its non-GAAP effective tax rate to be approximately 24%; andEPAM now expects GAAP diluted EPS to be in the range of $8.22 to $8.38 and non-GAAP diluted EPS to be in the range of $13.08 to $13.24. The Company now expects weighted average diluted shares outstanding for the year to be 52.2 million.
Third Quarter
EPAM expects the following for the third quarter:
The Company expects revenues will be in the range of $1.410 billion to $1.425 billion for the third quarter, reflecting year-over-year growth of 1.7% at the midpoint of the range. The Company expects the year-over-year revenue growth rate on an organic constant currency basis to be 1.8% at the midpoint of the range;For the third quarter, EPAM expects GAAP income from operations to be in the range of 11.0% to 12.0% of revenues and non-GAAP income from operations to be in the range of 15.5% to 16.5% of revenues;The Company expects its GAAP effective tax rate to be approximately 25% and its non-GAAP effective tax rate to be approximately 24%; andEPAM expects GAAP diluted EPS will be in the range of $2.33 to $2.41 for the quarter, and non-GAAP diluted EPS will be in the range of $3.38 to $3.46 for the quarter. The Company expects weighted average diluted shares outstanding for the quarter to be 51.4 million.
Conference Call Information
EPAM will host a conference call to discuss the results on Thursday, August 6, 2026, at 8:00 a.m. ET. The conference call will be available live on the EPAM website at https://investors.epam.com. Please visit the website at least 15 minutes prior to the call to register for the event. For those who cannot access the live webcast, a replay will be available in the Investor Relations section of the website.
About EPAM Systems
EPAM (NYSE:EPAM) is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, EPAM empowers organizations to become AI-Native enterprises, driving measurable value from innovation and digital investments. Recognized by industry benchmarks and leading analysts as a leader in AI, EPAM delivers globally while engaging locally, making the future real for clients, partners, and employees.
We are proud to be recognized by Forbes, Glassdoor, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.
Learn more at www.epam.com and follow us on LinkedIn.
Non-GAAP Financial Measures
EPAM supplements results reported in accordance with United States generally accepted accounting principles, referred to as GAAP, with non-GAAP financial measures. Management believes these measures help illustrate underlying trends in EPAM’s business and uses the measures to establish budgets and operational goals, communicate internally and externally, for managing EPAM’s business and evaluating its performance. Management also believes these measures help investors compare EPAM’s operating performance with its results in prior periods. EPAM anticipates that it will continue to report both GAAP and certain non-GAAP financial measures in its financial results, including non-GAAP results that exclude stock-based compensation expenses, acquisition-related costs including amortization of acquired intangible assets, impairment of assets, expenses associated with EPAM’s humanitarian commitment to its professionals in Ukraine, employee separation costs incurred in connection with restructuring programs, certain other one-time charges and benefits, changes in fair value of contingent consideration, foreign exchange gains and losses, excess tax benefits and tax shortfalls related to stock-based compensation, and the related effect on income taxes of the pre-tax adjustments. Management also compares revenues on an “organic constant currency basis,” which is a non-GAAP financial measure. This measure excludes the effect of acquisitions by removing revenues from an acquired company in the twelve months after completing an acquisition and foreign currency exchange rate fluctuations by translating current period revenues into U.S. dollars at the weighted average exchange rates of the prior period of comparison. Because EPAM’s reported non-GAAP financial measures are not calculated in accordance with GAAP, these measures are not comparable to GAAP and may not be comparable to similarly described non-GAAP measures reported by other companies within EPAM’s industry. Consequently, EPAM’s non-GAAP financial measures should not be evaluated in isolation or supplant comparable GAAP measures, but rather, should be considered together with the information in EPAM’s consolidated financial statements, which are prepared in accordance with GAAP.
Forward-Looking Statements
This press release includes estimates and statements which may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties, and assumptions as to future events that may not prove to be accurate. Our estimates and forward-looking statements are mainly based on our current expectations and estimates of future events and trends, which affect or may affect our business and operations. These statements may include words such as “may,” “will,” “should,” “believe,” “expect,” “anticipate,” “intend,” “plan,” “estimate”or similar expressions. Those future events and trends may relate to, among other things, developments relating to the war in Ukraine and escalation of the war in the surrounding region, political and civil unrest or military action in the geographies where we conduct business and operate, difficult conditions in global capital markets, foreign exchange markets, global trade and the broader economy, the adoption and implementation of artificial intelligence technologies by EPAM and its clients, and the effect that these events may have on client demand and our revenues, operations, access to capital, and profitability. Other factors that could cause actual results to differ materially from those expressed or implied include general economic conditions, the risk factors discussed in the Company’s most recent Annual Report on Form 10-K and the factors discussed in the Company’s Quarterly Reports on Form 10-Q, particularly under the headings “Management’s Discussion and Analysis of Financial Condition and Results of Operations” and “Risk Factors”and other filings with the Securities and Exchange Commission. Although we believe that these estimates and forward-looking statements are based upon reasonable assumptions, they are subject to several risks and uncertainties and are made based on information currently available to us. EPAM undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law.
EPAM SYSTEMS, INC. AND SUBSIDIARIES
CONDENSED CONSOLIDATED STATEMENTS OF INCOME
(Unaudited)
(In thousands, except per share data)
Three Months Ended
June 30,
Six Months Ended
June 30,
2026
2025
2026
2025
Revenues
$ 1,414,767
$ 1,353,443
$ 2,814,828
$ 2,655,135
Operating expenses:
Cost of revenues (exclusive of depreciation and amortization)
985,199
964,012
1,997,251
1,916,020
Selling, general and administrative expenses
245,245
231,681
484,947
450,598
Depreciation and amortization expense
32,101
31,274
63,640
62,711
Income from operations
152,222
126,476
268,990
225,806
Interest and other income (loss), net
(1,821)
3,519
(239)
9,333
Foreign exchange loss
(9,850)
(6,227)
(7,552)
(16,954)
Income before provision for income taxes
140,551
123,768
261,199
218,185
Provision for income taxes
37,572
35,742
75,699
56,677
Net income
$ 102,979
$ 88,026
$ 185,500
$ 161,508
Net income per share:
Basic
$ 1.97
$ 1.56
$ 3.50
$ 2.86
Diluted
$ 1.97
$ 1.56
$ 3.49
$ 2.84
Shares used in calculation of net income per share:
Basic
52,197
56,319
52,991
56,548
Diluted
52,267
56,536
53,220
56,898
EPAM SYSTEMS, INC. AND SUBSIDIARIES
CONDENSED CONSOLIDATED BALANCE SHEETS
(Unaudited)
(In thousands, except par value)
As of
June 30,
2026
As of
December 31,
2025
Assets
Current assets
Cash and cash equivalents
$ 789,397
$ 1,296,077
Trade receivables and contract assets, net of allowance of $3,939 and $6,350, respectively
1,268,036
1,108,201
Prepaid and other current assets
158,556
129,610
Total current assets
2,215,989
2,533,888
Property and equipment, net
204,967
202,387
Operating lease right-of-use assets, net
124,999
114,875
Intangible assets, net
372,969
406,586
Goodwill
1,203,048
1,210,564
Deferred tax assets
295,947
295,115
Other noncurrent assets
156,167
138,721
Total assets
$ 4,574,086
$ 4,902,136
Liabilities
Current liabilities
Accounts payable
$ 41,551
$ 55,329
Accrued compensation and benefits expenses
495,961
608,232
Accrued expenses and other current liabilities
208,531
250,688
Income taxes payable, current
19,093
25,520
Operating lease liabilities, current
39,301
37,173
Total current liabilities
804,437
976,942
Long-term debt
25,000
25,034
Operating lease liabilities, noncurrent
87,942
81,497
Deferred tax liabilities, noncurrent
74,505
76,969
Other noncurrent liabilities
62,901
63,886
Total liabilities
1,054,785
1,224,328
Commitments and contingencies
Equity
Stockholders’ equity
Common stock, $0.001 par value; 160,000 shares authorized; 51,585 shares issued
and outstanding at June 30, 2026, and 54,274 shares issued and outstanding at
December 31, 2025
52
54
Additional paid-in capital
1,487,973
1,390,423
Retained earnings
2,035,664
2,268,204
Accumulated other comprehensive income (loss)
(4,970)
18,545
Total EPAM Systems, Inc. stockholders’ equity
3,518,719
3,677,226
Noncontrolling interest in consolidated subsidiaries
582
582
Total equity
3,519,301
3,677,808
Total liabilities and equity
$ 4,574,086
$ 4,902,136
EPAM SYSTEMS, INC. AND SUBSIDIARIES
Reconciliations of Non-GAAP Financial Measures to Comparable GAAP Financial Measures
(Unaudited)
(In thousands, except percentages and per share amounts)
Reconciliation of year-over-year revenue growth as reported on a GAAP basis to revenue growth on an organic constant currency
basis is presented in the table below:
Three Months Ended
June 30, 2026
Six Months Ended
June 30, 2026
Revenue growth as reported
4.5 %
6.0 %
Inorganic revenue
— %
— %
Foreign exchange rates
(1.1) %
(2.5) %
Revenue growth on an organic constant currency basis
3.4 %
3.5 %
Reconciliation of various income statement amounts from GAAP to non-GAAP for the three and six months ended June 30, 2026 and 2025:
Three Months Ended
June 30, 2026
Six Months Ended
June 30, 2026
GAAP
Adjustments
Non-GAAP
GAAP
Adjustments
Non-GAAP
Cost of revenues (exclusive of depreciation and amortization)(1)
$ 985,199
$ (23,361)
$ 961,838
$ 1,997,251
$ (46,771)
$ 1,950,480
Selling, general and administrative expenses(2)
$ 245,245
$ (39,474)
$ 205,771
$ 484,947
$ (82,314)
$ 402,633
Income from operations(3)
$ 152,222
$ 80,444
$ 232,666
$ 268,990
$ 164,412
$ 433,402
Operating margin
10.8 %
5.6 %
16.4 %
9.6 %
5.8 %
15.4 %
Net income(4)
$ 102,979
$ 73,831
$ 176,810
$ 185,500
$ 146,535
$ 332,035
Diluted earnings per share
$ 1.97
$ 3.38
$ 3.49
$ 6.24
Three Months Ended
June 30, 2025
Six Months Ended
June 30, 2025
GAAP
Adjustments
Non-GAAP
GAAP
Adjustments
Non-GAAP
Cost of revenues (exclusive of depreciation and amortization)(1)
$ 964,012
$ (18,232)
$ 945,780
$ 1,916,020
$ (42,773)
$ 1,873,247
Selling, general and administrative expenses(2)
$ 231,681
$ (40,349)
$ 191,332
$ 450,598
$ (74,572)
$ 376,026
Income from operations(3)
$ 126,476
$ 76,417
$ 202,893
$ 225,806
$ 152,837
$ 378,643
Operating margin
9.3 %
5.7 %
15.0 %
8.5 %
5.8 %
14.3 %
Net income(4)
$ 88,026
$ 68,765
$ 156,791
$ 161,508
$ 133,298
$ 294,806
Diluted earnings per share
$ 1.56
$ 2.77
$ 2.84
$ 5.18
Items (1) through (4) above are detailed in the table below with the specific cross-reference noted in the appropriate item.
Three Months Ended
June 30,
Six Months Ended
June 30,
2026
2025
2026
2025
Stock-based compensation expenses
$ 22,833
$ 18,161
$ 45,686
$ 42,084
Humanitarian support in Ukraine(a)
528
576
1,085
1,194
Poland R&D incentives (b)
—
(505)
—
(505)
Total adjustments to GAAP cost of revenues(1)
23,361
18,232
46,771
42,773
Stock-based compensation expenses
23,568
20,397
50,634
44,930
Cost Optimization charges(c)
13,940
16,275
27,336
21,586
Humanitarian support in Ukraine(a)
1,961
3,282
4,370
7,014
Other acquisition-related expenses
1
292
7
862
One-time charges (benefits)
4
103
(33)
180
Total adjustments to GAAP selling, general and administrative expenses(2)
39,474
40,349
82,314
74,572
Amortization of acquired intangible assets
17,609
17,836
35,327
35,492
Total adjustments to GAAP income from operations(3)
80,444
76,417
164,412
152,837
Foreign exchange loss
9,850
6,227
7,552
16,954
Change in fair value of contingent consideration included in Interest and other income, net
1,435
(232)
2,420
(1,969)
Impairment of financial assets
356
—
356
—
Gain on financial instrument
—
—
—
(350)
Provision for income taxes:
Tax effect on non-GAAP adjustments
(19,997)
(18,291)
(39,128)
(38,201)
Tax shortfall related to stock-based compensation
1,743
1,106
11,592
563
Net discrete charge (benefit) from tax planning(d)
—
3,538
(669)
3,464
Total adjustments to GAAP net income(4)
$ 73,831
$ 68,765
$ 146,535
$ 133,298
(a)
Humanitarian support in Ukraine includes expenses related to EPAM’s $100 million humanitarian commitment in response to Russia’s invasion of Ukraine to support EPAM professionals and their families in and displaced from Ukraine. These expenses are incremental to those expenses incurred prior to the crisis, clearly separable from normal operations, and not expected to recur once the crisis has subsided and operations return to normal.
(b)
We have excluded from non-GAAP results the portion of the benefit from Poland R&D incentives related to qualifying activities performed in 2023 as it represents a nonrecurring one-time benefit.
(c)
Cost Optimization charges include employee separation costs incurred in connection with the programs initiated in the second quarter of 2024 and second quarter of 2025. Consistent with the Company’s historical non-GAAP policy, costs incurred in connection with formal restructuring initiatives have been excluded from non-GAAP results as these are attributable to targeted restructuring efforts and not expected to recur once the respective Cost Optimization program is completed.
(d)
Net discrete charge (benefit) related to the implementation of tax planning to disregard certain foreign subsidiaries as separate entities for U.S. income tax purposes. Consistent with the Company’s historical non-GAAP policy, the charge (benefit) related to the implementation of tax planning has been excluded from non-GAAP results as it is one-time and unusual in nature.
EPAM SYSTEMS, INC. AND SUBSIDIARIES
Reconciliations of Guidance Non-GAAP Financial Measures to Comparable GAAP Financial Measures
(Unaudited)
The below guidance constitutes forward-looking statements within the meaning of the federal securities laws and is
based on a number of assumptions that are subject to change and many of which are outside the control of the
Company. Actual results may differ materially from the Company’s expectations depending on factors discussed in
the Company’s filings with the Securities and Exchange Commission.
Reconciliation of expected year-over-year revenue growth on a GAAP basis to expected revenue growth on an organic
constant currency basis is presented in the table below:
Third Quarter 2026
Full Year 2026
(at midpoint of range)
Revenue growth
1.7 %
3.2% to 4.2%
Foreign exchange rates impact
0.1 %
(1.2) %
Inorganic revenue growth
— %
— %
Revenue growth on an organic constant currency basis
1.8 %
2.0% to 3.0%
Reconciliation of expected GAAP to non-GAAP income from operations as a percentage of revenues is presented in the table below:
Third Quarter 2026
Full Year 2026
GAAP income from operations as a percentage of revenues
11.0% to 12.0%
10.5% to 11.0%
Stock-based compensation expenses
3.1 %
3.2 %
Included in cost of revenues (exclusive of depreciation and amortization)
1.5 %
1.5 %
Included in selling, general and administrative expenses
1.6 %
1.7 %
Humanitarian support in Ukraine(a)
0.2 %
0.2 %
Cost Optimization charges(c)
— %
0.4 %
Amortization of acquired intangible assets
1.2 %
1.2 %
Non-GAAP income from operations as a percentage of revenues(e)
15.5% to 16.5%
15.5% to 16.0%
(e)
EPAM has not included the impact of potential future one-time charges including asset impairments, unusual gains and losses, expenses incurred in connection with future cost optimization actions, and other acquisition-related expenses because the Company is unable to predict these amounts with reasonable certainty.
Reconciliation of expected GAAP to non-GAAP effective tax rate is presented in the table below:
Third Quarter 2026
Full Year 2026
GAAP effective tax rate (approximately)
25.0 %
27.0 %
Tax effect on non-GAAP adjustments
(0.8) %
(0.8) %
Tax shortfall related to stock-based compensation
(0.2) %
(2.3) %
Net discrete benefit from tax planning(d)
— %
0.1 %
Non-GAAP effective tax rate (approximately)
24.0 %
24.0 %
Reconciliation of expected GAAP to non-GAAP diluted earnings per share is presented in the table below:
Third Quarter 2026
Full Year 2026
GAAP diluted earnings per share
$2.33 to $2.41
$8.22 to $8.38
Stock-based compensation expenses
0.85
3.55
Included in cost of revenues (exclusive of depreciation and amortization)
0.39
1.66
Included in selling, general and administrative expenses
0.46
1.89
Humanitarian support in Ukraine(a)
0.05
0.20
Cost Optimization charges(c)
—
0.52
One-time charges(e)
0.02
0.03
Amortization of acquired intangible assets
0.34
1.34
Change in fair value of contingent consideration
—
0.05
Foreign exchange loss
0.06
0.22
Provision for income taxes:
Tax effect on non-GAAP adjustments
(0.28)
(1.30)
Tax shortfall related to stock-based compensation
0.01
0.26
Net discrete benefit from tax planning(d)
—
(0.01)
Non-GAAP diluted earnings per share(e)
$3.38 to $3.46
$13.08 to $13.24
View original content to download multimedia:https://www.prnewswire.com/news-releases/epam-reports-results-for-second-quarter-2026-302844570.html
SOURCE EPAM Systems, Inc.
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