Connect with us

Technology

Enghouse Releases First Quarter Results

Published

on

MARKHAM, ON, March 10, 2025 /CNW/ – Enghouse Systems Limited (TSX: ENGH) announces first quarter (unaudited) financial results for the period ended January 31, 2025. All figures are denominated in Canadian dollars unless otherwise indicated.

Revenue increased 2.9% to $124.0 million from $120.5 million in Q1 2024;Recurring revenue, which includes SaaS and maintenance services, grew 4.0% to $87.9 million compared to $84.6 million in Q1 2024, and represents 70.9% of total revenue, as we continue to prioritize this revenue stream;Results from operating activities decreased to $31.0 million compared to $32.6 million in Q1 2024;Net income was $21.9 million compared to $18.1 million in Q1 2024, as we grow our business with a focus on profitability;Adjusted EBITDA decreased to $33.1 million compared to $34.7 million, while achieving a 26.7% margin;Cash flow from operating activities, excluding changes in working capital, was $37.7 million compared to $35.6 million in the comparable period. Cash, cash equivalents and short-term investments were $271.1 million as at January 31, 2025.

The most recent quarter has brought about events that have created a great deal of uncertainty across the globe. There are new questions around trade flows, interest rates, commodity prices and other factors which point to increasing instability. Throughout this period, our first quarter operating performance continued its consistent positive trend and reflects our steady and disciplined approach to the business. In the quarter we achieved revenue of $124.0 million, representing a 2.9% increase compared to the prior year, while net income increased by 20.8% to $21.9 million or $0.40 per diluted share from $18.1 million or $0.33 per diluted share in the comparative quarter.

We remain focused on predictable recurring revenue streams with SaaS and maintenance services revenue increasing by 4.0% in the quarter. While transitioning from exclusively offering traditional on-premise solutions, we are strategically committed to offering customers a choice between on-premise and cloud solutions, which has allowed us to preserve both one-time and recurring revenue streams.

Cash flows from operating activities, excluding changes in working capital, were $37.7 million compared to $35.6 million in the prior year. During the first quarter we returned $14.4 million to shareholders through dividends and repurchased $6.0 million of our common shares. In addition, on December 16, 2024, Enghouse completed the acquisition of Aculab PLC, which provides a cutting-edge suite of solutions designed to elevate communication and security experiences, including AI-driven answering machine detection and advanced voice and face biometric technology. Even with these outflows, Enghouse closed the quarter with $271.1 million in cash, cash equivalents and short-term investments, down only marginally from our record of $274.7 million at October 31, 2024. We continue to have no external debt financing.

On March 4, 2025, the Company announced the acquisition of Margento R&D d.o.o., a European provider of transit fare collection, account-based ticketing, automatic vehicle tracking, and payment solutions based in Slovenia. Margento has a scalable and easy to deploy Mobility as a Service platform providing a unique user-centric mobile transit experience. This will augment our existing transportation offerings in the Asset Management Group.

Our strategic direction remains consistent and focused on long-term profitability and sustainability.  We will continue to balance market demand by offering both SaaS and on-premise solutions and will not sacrifice profitability for revenue growth, which is reaffirmed by our ability to generate positive cash flows. Our robust cash position continues to allow us to capitalize on acquisitions that meet our thresholds and provide continued returns to our shareholders, also enabling us to increase our annual dividend for the 17th consecutive year.  

Quarterly dividends:          

Today, the Board of Directors approved an increase of 15.4% in the Company’s eligible quarterly dividend to $0.30 per common share, payable on May 30, 2025, to shareholders of record at the close of business on May 16, 2025.

Enghouse Systems Limited
Financial Highlights
(unaudited, in thousands of Canadian dollars)

For the periods ended January 31

Three months

2025

2024

Var ($)

Var (%)

Revenue

$     124,000

$     120,489

3,511

2.9

Direct costs

44,463

41,582

2,881

6.9

Revenue, net of direct costs

$

79,537

$

78,907

630

0.8

As a % of revenue

64.1 %

65.5 %

Operating expenses

48,457

46,180

2,277

4.9

Special charges

91

91

0

0.0

Results from operating activities

$

30,989

$

32,636

(1,647)

(5.0)

As a % of revenue

25.0 %

27.1 %

Amortization of acquired software and customer relationships

(8,479)

(10,374)

1,895

18.3

Foreign exchange gains (losses)

2,309

(1,717)

4,026

234.5

Interest expense – lease obligations

(128)

(150)

22

14.7

Finance income

2,304

2,361

(57)

(2.4)

Finance expenses

(3)

( 3)

Other income (expense)

299

(114)

413

362.3

Income before income taxes

$

27,291

$

22,642

4,649

20.5

Provision for income taxes

5,387

4,509

878

19.5

Net income for the period

$

21,904

$

18,133

3,771

20.8

Basic earnings per share

0.40

0.33

0.07

21.2

Diluted earnings per share

0.40

0.33

0.07

21.2

Cash flows from operating activities

21,249

19,899

1,350

6.8

Cash flows from operating activities excluding changes in working capital

37,741

35,557

2,184

6.1

Adjusted EBITDA

Results from operating activities

30,989

32,636

(1,647)

(5.0)

Depreciation

653

494

159

(32.2)

Depreciation of right-of-use assets

1,378

1,506

(128)

8.5

Special charges

91

91

0

0.0

Adjusted EBITDA

$

33,111

$

34,727

(1,616)

(4.7)

Adjusted EBITDA margin

26.7 %

28.8 %

Adjusted EBITDA per diluted share

$

0.60

$

0.63

( 0.03)

(4.8)

 

Condensed Consolidated Interim Statements of Financial Position

(in thousands of Canadian dollars)

(unaudited)

   As at January 31,
2025

As at October 31,
2024

ASSETS

Current assets:

   Cash and cash equivalents

$

270,304

$

274,240

   Short-term investments

784

487

   Accounts receivable

114,592

92,348

   Prepaid expenses and other assets

19,061

16,100

404,741

383,175

Non-current assets:

   Property and equipment

4,059

4,192

   Right-of-use assets

11,771

11,473

   Intangible assets

96,552

98,594

   Goodwill

320,997

309,831

   Deferred income tax assets

27,273

26,228

460,652

450,318

$

865,393

$

833,493

LIABILITIES AND SHAREHOLDERS’ EQUITY

Current liabilities:

   Accounts payable and accrued liabilities

$

67,970

$

70,087

   Income taxes payable

7,849

5,525

   Dividends payable

14,340

14,397

   Provisions

1,777

1,834

   Deferred revenue

132,397

114,080

   Lease obligations

5,381

5,344

229,714

211,267

Non-current liabilities:

   Deferred income tax liabilities

10,486

10,500

   Deferred revenue

9,903

8,094

   Net employee defined benefit obligation

2,075

2,081

   Lease obligations

6,115

5,744

28,579

26,419

258,293

237,686

Shareholders’ equity

   Share capital

117,750

118,217

   Contributed surplus

9,878

9,764

   Retained earnings

448,823

446,748

   Accumulated other comprehensive income

30,649

21,078

607,100

595,807

$

865,393

$

833,493

 

Condensed Consolidated Interim Statements of Operations and Comprehensive Income

(in thousands of Canadian dollars, except per share amounts)

(unaudited)                                            

Three months

Periods ended January 31

2025

2024

Revenue

     Software licenses

$  17,781

$  16,975

     SaaS and maintenance services

87,932

84,587

     Professional services

16,108

15,945

     Hardware

2,179

2,982

124,000

120,489

Direct costs

     Software licenses

736

674

     Services

42,497

39,531

     Hardware

1,230

1,377

44,463

41,582

Revenue, net of direct costs

79,537

78,907

Operating expenses

     Selling, general and administrative

23,636

22,869

     Research and development

22,790

21,311

     Depreciation

653

494

     Depreciation of right-of-use assets

1,378

1,506

     Special charges

91

91

48,548

46,271

Results from operating activities

30,989

32,636

Amortization of acquired software and customer relationships   

(8,479)

(10,374)

Foreign exchange gains (losses)

2,309

(1,717)

Interest expense – lease obligations

(128)

(150)

Finance income

2,304

2,361

Finance expenses

(3)

Other income (expense)

299

(114)

Income before income taxes

27,291

22,642

Provision for income taxes

5,387

4,509

Net income for the period

$  21,904

$  18,133

Items that may be subsequently reclassified to income:

Cumulative translation adjustment

9,571

(8,017)

Other comprehensive income (loss)

9,571

(8,017)

Comprehensive income

$  31,475

$  10,116

Earnings per share

Basic

$      0.40

$      0.33

Diluted

$      0.40

$      0.33

 

Condensed Consolidated Interim Statements of Cash Flows

(in thousands of Canadian dollars)

(unaudited)

Three months

Periods ended January 31

2025

2024

OPERATING ACTIVITIES

Net income for the period

$    21,904

$    18,133


Adjustments for non-cash items

   Depreciation

653

494

   Depreciation of right-of-use assets

1,378

1,506

   Interest expense – lease obligations

128

150

   Amortization of acquired software and customer relationships

8,479

10,374

   Stock-based compensation expense

108

277

   Provision for income taxes

5,387

4,509

   Finance expenses and other (income) expense

(296)

114

37,741

35,557

Changes in non-cash operating working capital

(11,891)

(13,140)

Income taxes paid

(4,601)

(2,518)

Net cash provided by operating activities

21,249

19,899

INVESTING ACTIVITIES

Net purchase of property and equipment

(404)

(360)

Acquisitions, net of cash acquired*

(6,586)

Recovery of purchase consideration for prior-year acquisitions

171

Net cash used in investing activities

(6,990)

(189)

FINANCING ACTIVITIES

Issuance of share capital

4,310

Normal course issuer bid share repurchases

(5,950)

Repayment of lease obligations

(1,374)

(1,602)

Dividends paid

(14,397)

(12,156)

Net cash used in financing activities

(21,721)

(9,448)

Impact of foreign exchange on cash and cash equivalents

3,526

(3,042)

(Decrease) increase in cash and cash equivalents

(3,936)

7,220

Cash and cash equivalents ─ beginning of period

274,240

239,532

Cash and cash equivalents ─ end of period

$  270,304

$  246,752

*Acquisitions are net of cash acquired of $2,620 for the three months ended January 31, 2025 and nil for the three months ended January 31, 2024.

Enghouse Systems Limited
Segment Reporting Information
(in thousands of Canadian dollars)

Three months ended January 31

2025

2024

IMG

AMG

Total

IMG

AMG

Total

Revenue

$

73,221

$

50,779

$

124,000

$

76,137

$

44,352

$

120,489

Direct costs

(25,713)

(18,750)

(44,463)

(25,406)

(16,176)

(41,582)

Revenue, net of direct costs

47,508

32,029

79,537

50,731

28,176

78,907

Operating expenses excluding special charges

(22,602)

(11,978)

(34,580)

(21,425)

(11,697)

(33,122)

Depreciation

(402)

(251)

(653)

(377)

(117)

(494)

Depreciation of right-of-use assets

(909)

(469)

(1,378)

(936)

(570)

(1,506)

Segment profit

$

23,595

$

19,331

$

42,926

$

27,993

$

15,792

$

43,785

Special charges

(91)

(91)

Corporate and shared service expenses

(11,846)

(11,058)

Results from operating activities

$

30,989

$

32,636

About Enghouse

Enghouse is a Canadian publicly traded company (TSX: ENGH) that provides a wide range of mission critical vertically focused enterprise software solutions. Our core technologies are used for contact centers, video communications, virtual healthcare, education, telecommunications networks, IPTV, public safety and transit. The Company’s two-pronged strategy to grow earnings focuses on both organic growth and acquisitions, which, to date, have been funded only through cash flows from operating activities as the Company has no outstanding external debt financing. The Company is organized around two business segments, the Interactive Management Group (“IMG”) and the Asset Management Group (“AMG”) due to their unique customer segments and technology offerings. Further information about Enghouse may be obtained from the Company’s website at www.enghouse.com

Conference Call and Webcast

A conference call to discuss the results will be held on Tuesday, March 11, 2025 at 8:45 a.m. EST. To participate, please call Local
+1-289-514-5100 or North American Toll-Free 1-800-717-1738. Confirmation code: 35790. A webcast is also available at: https://www.enghouse.com/investors.php.

****

The Company uses non-IFRS measures to assess its operating performance. Securities regulations require that companies caution readers that earnings and other measures adjusted to a basis other than IFRS do not have standardized meanings and are unlikely to be comparable to similar measures used by other companies. Accordingly, they should not be considered in isolation. The Company uses Adjusted EBITDA as a measure of operating performance. Therefore, Adjusted EBITDA may not be comparable to similar measures presented by other issuers. Adjusted EBITDA is calculated based on results from operating activities adjusted for depreciation of property and equipment and right-of-use assets, and special charges for acquisition related restructuring costs. Management uses Adjusted EBITDA to evaluate operating performance as it excludes amortization of software and intangibles (which is an accounting allocation of the cost of software and intangible assets arising on acquisition), any impact of finance and tax related activities, asset depreciation, foreign exchange gains and losses, other income and restructuring costs primarily related to acquisitions.

SOURCE Enghouse Systems Limited

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