Connect with us

Technology

UPM Interim Report Q1 2025: Good start to the year with actions to sharpen competitiveness

Published

on

HELSINKI, April 24, 2025 /PRNewswire/ — UPM-Kymmene Corporation Stock Exchange Release (Interim report) April 24, 2025 at 09:50 EEST

UPM Interim Report Q1 2025: Good start to the year with actions to sharpen competitiveness

Q1 2025 highlights

Sales totaled €2,646 million (2,640 million in Q1 2024)Comparable EBIT decreased by 14% to €287 million, 10.8% of sales (333 million, 12.6%)Operating cash flow was €289 million (335 million)Gradually improving markets in pulp and advanced materialsActions to sharpen competitiveness started to bear fruitUPM acquired Metamark, a UK-based company, to accelerate UPM Raflatac’s growthUPM Communication Papers announced a plan to reduce paper capacity in Germany and streamline its structureUPM commenced a share buy-back program and repurchased 6 million shares for a total of approximately €160 millionUPM was listed as the only forest and paper industry company in the Dow Jones Global and European Sustainability Indices (DJSI) for the years 2024-2025UPM was recognized among the top sustainability performers by CDP and S&P Global

Key figures

Q1/2025

Q1/2024

Q4/2024

Q1-Q4/2024

Sales, € million

2,646

2,640

2,632

10,339

Comparable EBITDA, € million

421

489

436

1,734

% of sales

15.9

18.5

16.5

16.8

Operating profit (loss), € million

198

354

-105

604

Comparable EBIT, € million

287

333

418

1,224

% of sales

10.8

12.6

15.9

11.8

Profit (loss) before tax, € million

173

332

-131

500

Comparable profit before tax, € million

262

311

392

1,123

Profit (loss) for the period, € million

143

279

-95

463

Comparable profit for the period, € million

223

258

328

953

Earnings per share (EPS), €

0.26

0.51

-0.19

0.82

Comparable EPS, €

0.41

0.47

0.61

1.74

Return on equity (ROE), %

5.2

9.6

-3.4

4.0

Comparable ROE, %

8.1

8.9

11.5

8.3

Return on capital employed (ROCE), %

5.5

9.6

-2.6

4.1

Comparable ROCE, %

7.9

9.1

11.1

8.2

Operating cash flow, € million

289

335

570

1,352

Operating cash flow per share, €

0.54

0.63

1.07

2.54

Equity per share at the end of period, €

19.29

21.42

20.89

20.89

Capital employed at the end of period, € million

14,449

15,028

15,452

15,452

Net debt at the end of period, € million

2,954

2,312

2,869

2,869

Net debt to EBITDA (last 12 months)

1.77

1.46

1.66

1.66

Personnel at the end of period                                                        .

15,890

16,132

15,827

15,827

UPM presents certain measures of performance, financial position and cash flows, which are alternative performance measures in accordance with the guidance issued by the European Securities and Markets Authority (ESMA). The definitions of alternative performance measures are presented in » UPM Annual Report 2024

Massimo Reynaudo, President and CEO, comments on the results:

“We had a good start to the year and improved performance compared to the previous quarter. Markets were gradually recovering in pulp and advanced materials, while our actions to sharpen competitiveness started to bear fruit in several businesses. We made progress towards our growth ambition with the acquisition of Metamark, and we completed our first share buy-back program by early April.

In Q1, our sales were €2,646 million, broadly in line with the preceding quarter as well as with Q1 2024. Comparable EBIT was €287 million, down 14% from last year’s corresponding quarter. Operating cash flow was €289 million. Our financial position continues to be solid, with net debt to EBITDA ratio of 1.77 at the end of March.

UPM Fibres delivered solid results. In Uruguay, our pulp production and logistics infrastructure are now fully operational, driving production costs lower. In Finland, despite the unsustainably high wood prices we continued to operate profitably thanks to our new operating model and efficient mills. Average pulp prices were cyclically low, although market prices increased slightly during the quarter.

In advanced materials, markets for self-adhesive label materials continued to grow moderately. UPM Raflatac captured its share of the growth, and the efficiency measures started to bear fruit. UPM Specialty Papers showed robust performance and benefited from lower production costs. UPM Plywood delivered steady results.

In decarbonization solutions, the market conditions continued to be challenging. In UPM Energy, the high season of the electricity market was muted by the mild winter and high hydro reservoirs in the Nordic countries. UPM Biofuels took a step towards restoring profitability with solid deliveries and decreased variable costs.

In UPM Biochemicals, the sequential start-up of the Leuna biorefinery continued and we expect to start the integrated commercial production in H2 2025. Commercial interest in the products and side streams is confirmed with an opportunity pipeline multiple times the annual capacity of the refinery.

In UPM Communication Papers performance was steady, deliveries and prices were down sequentially. We continued to safeguard our future performance with new efficiency measures and the planned closure of UPM Ettringen paper mill in Germany, which would reduce the annual capacity of uncoated mechanical paper by 270,000 tonnes during July 2025.

Towards the end of Q1, the uncertainty of the business environment increased significantly due to the escalating global trade tensions. We expect the direct impact of tariffs on our businesses to be relatively limited and the tariffs in general to be broadly passed through to prices. However, the uncertainty related to tariffs may impact trade flows, cause hesitation among customers, disrupt supply chains and weaken consumer confidence in the coming months. Furthermore, the scale of the trade conflict may cause currency fluctuations, which would have a direct impact on us.

With our solid balance sheet, competitive portfolio and broad geographic presence we are well positioned to face the uncertainty. Since last fall, we have been implementing efficiency and margin management measures that continue to strengthen our competitive position and prepare us to face what lies ahead.

In this uncertain environment, we remain focused on improving our competitiveness, pursuing long-term growth and developing a portfolio of world-class businesses.

Our commitment to sustainability also remains intact. In Q1, we were listed as the only forest and paper industry company in the Dow Jones Global and European Sustainability Indices (DJSI) for the years 2024-2025. We were also recognized among the top performers by the CDP, a global non-profit that runs the world’s only independent disclosure system for managing environmental impacts.”

Profit guidance

UPM’s comparable EBIT in H1 2025 is expected to be approximately in the range of €400-625 million (€515 million in H1 2024).

Outlook

UPM’s performance in H1 2025 is expected to benefit from higher delivery volumes and lower fixed costs, but be held back by lower sales margins, compared with H1 2024. The year 2025 has started with lower pulp and electricity prices than 2024.

2025 will be the first year of full production at the UPM Paso de los Toros mill, which is expected to grow pulp deliveries. Deliveries are expected to continue to increase for labeling materials, specialty papers and plywood. Communication paper deliveries are expected to decrease.

UPM Biofuels is expected to improve its performance in H1 2025, compared with H1 2024.

UPM’s operations in Q2 2025 will be impacted by significantly higher maintenance activity than in Q1 2025.

There are significant uncertainties in geopolitics and global trade relations, which may impact the development of UPM’s product deliveries, sales prices, various input cost factors and currency exchange rates.

Sensitivity to pulp and electricity prices

UPM’s comparable EBIT is sensitive to pulp and electricity prices. The figures below represent group earnings sensitivities on annual level.

UPM is a large producer and consumer of chemical pulp. A €50/tonne change in average pulp price would impact annual comparable EBIT by approximately €170 million (net impact: assuming no correlation between pulp and paper prices) to approximately €270 million (gross impact: assuming paper pricing would match changes in pulp costs).

UPM is a large producer and consumer of electricity in Finland and separately hedges part of its electricity sales and purchases. Based on UPM’s estimated unhedged net electricity sales position in Finland in 2025, a €10/MWh change in average electricity market price in Finland would impact annual comparable EBIT by approximately €30 million.

Foreign exchange exposure

Fluctuations in monetary policies and economic conditions can significantly impact the value of various currencies, which in turn may affect UPM. Additionally, the escalation of global trade tensions could influence currency exchange rates. These currency fluctuations could impact UPM’s cash flow, earnings, or balance sheet, and may also affect the relative competitiveness between different currency regions. 

The group’s policy is to hedge an average of 50% of its estimated net currency cash flows on a rolling basis over the next 12-month period. At the end of Q1 2025, UPM’s estimated net currency cash flows for the next 12 months totaled approximately €1.6 billion. USD was the largest exposure at approximately €1.2 billion, followed by UYU, GBP and CNY. In addition, the earnings of UPM’s foreign subsidiaries are translated to euros in reporting. UPM has significant foreign subsidiaries in Uruguay, the U.S. and China. Foreign exchange risks are discussed in UPM’s Annual Report 2024 on pages 305-306.

Invitation to UPM’s webcast on Q1 2025 Interim Report

A webcast and a conference call for analysts and investors will start at 13:15 EEST. The Interim Report will be presented in English by President and CEO Massimo Reynaudo and CFO Tapio Korpeinen. Participants can follow the webcast online via this link.

Participants wishing to ask questions after the presentation must register for the conference call. To participate in the conference call, please register here. After registering, you will be provided with telephone numbers, a user ID and a conference ID to access the call. To ask a question, press *5 on your telephone keypad to join the queue.

The webcast will be available at www.upm.com for 12 months after the call.

It should be noted that certain statements herein, which are not historical facts, including, without limitation, those regarding expectations for market growth and developments; expectations for growth and profitability; and statements preceded by “believes”, “expects”, “anticipates”, “foresees”, or similar expressions, are forward-looking statements. Since these statements are based on current plans, estimates and projections, they involve risks and uncertainties which may cause actual results to materially differ from those expressed in such forward-looking statements. Such factors include, but are not limited to: (1) operating factors such as continued success of manufacturing activities and the achievement of efficiencies therein including the availability and cost of production inputs, continued success of product development, acceptance of new products or services by the Group’s targeted customers, success of the existing and future collaboration arrangements, changes in business strategy or development plans or targets, changes in the degree of protection created by the Group’s patents and other intellectual property rights, the availability of capital on acceptable terms; (2) industry conditions, such as strength of product demand, intensity of competition, prevailing and future global market prices for the Group’s products and the pricing pressures thereto, financial condition of the customers and the competitors of the Group, the potential introduction of competing products and technologies by competitors; and (3) general economic conditions, such as rates of economic growth in the Group’s principal geographic markets or fluctuations in exchange and interest rates. The main earnings sensitivities and the group’s cost structure are presented on pages 271-272 of the Annual Report 2024. Risks and opportunities are discussed on pages 33-35, and risks and risk management are presented on pages 120-124.

UPM, Media relations
Mon-Fri 9:00-16:00 EEST
tel. +358 40 588 3284
media@upm.com

UPM

UPM is a material solutions company, renewing products and entire value chains with an extensive portfolio of renewable fibres, advanced materials, decarbonization solutions, and communication papers. Our performance in sustainability has been recognized by third parties, including EcoVadis and the Dow Jones Sustainability Indices. We operate globally and employ approximately 15,800 people worldwide, with annual sales of approximately €10.3 billion. Our shares are listed on Nasdaq Helsinki Ltd.

UPM – we renew the everyday
Read more: upm.com 

Follow us on LinkedIn | Facebook | YouTube | Instagram | X  | #UPM #materialsolutions #WeRenewTheEveryday 

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/upm-kymmene-oyj/r/upm-interim-report-q1-2025–good-start-to-the-year-with-actions-to-sharpen-competitiveness,c4139538

The following files are available for download:

 

View original content:https://www.prnewswire.co.uk/news-releases/upm-interim-report-q1-2025-good-start-to-the-year-with-actions-to-sharpen-competitiveness-302437066.html

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

Published

on

By

A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

Logo – https://mma.prnewswire.com/media/3007577/JAMS_logo.jpg
Photo – https://mma.prnewswire.com/media/3007578/jams_jax_ai_agent_job_scheduling_1.jpg
Photo – https://mma.prnewswire.com/media/3007579/jams_jax_mcp_ai_control_model.jpg
Photo – https://mma.prnewswire.com/media/3007580/jams_mcp_ai_connector_claude_cursor.jpg

View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

Continue Reading

Technology

Video: CNPC offers green chemical answer

Published

on

By

BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

Continue Reading

Technology

Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

Published

on

By

Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

Continue Reading

Trending