Technology

Converge Reports Preliminary Third Quarter 2024 Results

Published

2 years ago

October 24, 2024

TORONTO and GATINEAU, QC, Oct. 24, 2024 /PRNewswire/ — Converge Technology Solutions Corp. (“Converge” or “the Company”) (TSX: CTS) (FSE: 0ZB) (OTCQX: CTSDF) today announced select preliminary unaudited financial results for the three months ended September 30, 2024 (“Q3-2024”). All figures are in Canadian dollars unless otherwise stated.

Q3-2024 Preliminary Results

Revenue is expected to be in the range of $630.0 million to $631.0 million, compared to (i) a previously guided range of $636 million to $658 million, and (ii) $710.1 million in revenue for the third quarter of 2023 (“Q3-2023”).Gross profit is expected to be in the range of $158.0 to $158.5 million, compared to (i) a previously guided range of $172 million to $178 million, and (ii) $174.1 million in gross profit for Q3-2023.Adjusted EBITDA1 is expected to be in the range of $31.8 to $32.3 million, compared to, (i) a previously guided range of $43 million to $47 million, and (ii) $41.3 million in Adjusted EBITDA1 for Q3-2023.Cash from operating activities is expected to be in the range of $48.0 to $49.0 million, representing cash conversion1 of approximately 150% from Adjusted EBITDA1.

[1] This is a Non-IFRS measure (including non-IFRS ratio) and not a recognized, defined or a standardized measure under IFRS. See the “Non-IFRS Financial Measures” section of this press release for definitions, uses and a reconciliation of historical non-IFRS financial measures to the most directly comparable IFRS financial measures.

Q3-2024 Commentary

Q3-2024 revenue was impacted by adverse macroeconomic conditions as certain customers delayed project spend as timelines shifted into the fourth quarter of 2024 or potentially the next fiscal year. Compared to Q3-2023, Q3-2024 revenue declined due to lower demand in North America for data center, networking, and storage solutions whereas Q3-2023 included a period of abnormally strong backlog fulfillment. Historically, the third quarter ended September 30 has been the weakest quarter from a seasonality perspective. In addition, refresh activity on end user devices continues to be pushed into 2025 as some customers are pausing the purchase cycle in advance of wider availability of AI PC’s. This resulted in reduced hardware and associated maintenance & support revenue. Cloud and software revenue has continued to increase year over year.

Subsequent to Q3-2024, the Company successfully completed the migration to its new enterprise resource planning (“ERP”) system. The new ERP system is expected to enable ongoing improvements in key systems and processes leading to greater operating efficiencies.

“While companies have remained conservative with their capex spend, particularly in hardware, we continued to see double-digit growth in our strategic investment areas around cloud, cybersecurity, software, and managed services in the third quarter of 2024,” said Greg Berard, Converge CEO. “We remain committed to leveraging our healthy pipeline into the fourth quarter of 2024 and, with the successful implementation of our new ERP system, we will look for greater efficiencies to help drive the cash flow performance of our business.”

Complete financial results for Q3-2024 along with an updated financial outlook for the fiscal year ended December 31, 2024 will be published before the markets open on the Toronto Stock Exchange on Tuesday, November 12, 2024. Further information and conference call webcast and dial-in details are available on the Company’s Investor Relations website.

About Converge

Converge Technology Solutions Corp. is a services-led, software-enabled, IT & Cloud Solutions provider focused on delivering industry-leading solutions. Converge’s global approach delivers advanced analytics, artificial intelligence (AI), application modernization, cloud platforms, cybersecurity, digital infrastructure, and digital workplace offerings to clients across various industries. The Company supports these solutions with advisory, implementation, and managed services expertise across all major IT vendors in the marketplace. This multi-faceted approach enables Converge to address the unique business and technology requirements for all clients in the public and private sectors. For more information, visit convergetp.com.

Non-IFRS Measures

This press release refers to certain performance indicators, including Adjusted EBITDA and cash conversion that do not have any standardized meaning prescribed by IFRS and may not be comparable to similar measures presented by other companies. Management believes that useful to most shareholders, creditors, and other stakeholders in analyzing the Company’s operating results, and can highlight trends in its core business that may not otherwise be apparent when relying solely on IFRS financial measures. The Company also believes that securities analysts, investors and other interested parties frequently use non-IFRS measures in the evaluation of issuers.

Management also uses non-IFRS measures in order to facilitate operating performance comparisons from period to period, prepare annual operating budgets and assess the ability to meet capital expenditure and working capital requirements. These non-IFRS financial measures should not be considered as an alternative to the consolidated income (loss) or any other measure of performance under IFRS. Investors are encouraged to review the Company’s financial statements and disclosures in their entirety, are cautioned not to put undue reliance on non-IFRS measures and view them in conjunction with the most comparable IFRS financial measures.

Adjusted EBITDA represents net income adjusted to exclude amortization, depreciation, interest expense and finance costs, foreign exchange gains and losses, share-based compensation expense, income tax expense, and special charges. Special charges consist primarily of restructuring related expenses for employee terminations, lease terminations, and restructuring of acquired companies, as well as certain legal fees or provisions related to acquired companies. From time to time, it may also include adjustments in the fair value of contingent consideration, and other such non-recurring costs related to restructuring, financing, and acquisitions. The IFRS measure most directly comparable to Adjusted EBITDA presented in the Company’s financial statements is net (loss) income.

The Company has reconciled Adjusted EBITDA to the most comparable financial measure as follows:

For the three months

ended September 30,

2023

2022

Net (loss) income before income taxes

$ (4,373)

$ 15,726

Finance expense, net

10,867

5,886

Share-based compensation expense

774

1,275

Depreciation and amortization

29,456

23,094

Depreciation included in cost of sales

2,103

1,008

Other (income) expense

(170)

(24,233)

Change in fair value of contingent

consideration

–

Acquisition, integration, restructuring

and other

2,601

8,211

Adjusted EBITDA

$ 41,258

$ 30,967

Cash conversion is calculated as cash from operating activities divided by Adjusted EBITDA. The Company believes it is a useful measure of its performance in cash flow generation.

Please see “Non-IFRS Financial & Supplementary Financial Measures” and “Summary of Consolidated Financial Results” in the Company’s most recent Management’s Discussion and Analysis, which is available on the Company’s profile on SEDAR+ at www.sedarplus.ca, for further details on certain non-IFRS measures, which information is incorporated by reference herein.

Forward-Looking Information

This press release contains certain “forward-looking information” and “forward-looking statements” (collectively, “forward-looking statements”) within the meaning of applicable Canadian securities legislation regarding Converge and its business. Any statement that involves discussions with respect to predictions, expectations, beliefs, plans, projections, objectives, assumptions, future events or performance (often but not always using phrases such as “expects”, or “does not expect”, “is expected” “anticipates” or “does not anticipate”, “plans”, “budget”, “scheduled”, “forecasts”. “estimates”, “believes” or “intends” or variations of such words and phrases or stating that certain actions, events or results “may” or “could”, “would”, “might” or “will” be taken to occur or be achieved) are not statements of historical fact and may be forward-looking statements.

Specifically, statements regarding Converge’s forecast on revenue, gross profit, Adjusted EBITDA, cash from operating activities and cash conversion, expectations of future results, performance, prospects, the markets in which it operates, or about any future intention with regard to its business and acquisition strategies are considered forward-looking information. The foregoing demonstrates Converge’s objectives, which are not forecasts or estimates of its financial position, but are based on the implementation of its strategic goals, growth prospects, and growth initiatives. The forward-looking information, including management’s assessments of, and outlook for, revenue, gross profit, Adjusted EBITDA, cash from operating activities and cash conversion, are based on management’s opinions, estimates and assumptions, including, but not limited to: (i) Converge’s results of operations will continue as expected, (ii) the Company will continue to effectively execute against its key strategic growth priorities, (iii) the Company will continue to retain and grow its existing customer base and market share, (iv) the Company will be able to take advantage of future prospects and opportunities, and realize on synergies, including with respect of acquisitions, (v) there will be no changes in legislative or regulatory matters that negatively impact the Company’s business, (vi) current tax laws will remain in effect and will not be materially changed, (vii) economic conditions will remain relatively stable throughout the period, (vii) the industries Converge operates in will continue to grow consistent with past experience, and (ix) those assumptions described under the heading “About Forward-Looking Information” in the Company’s Management’s Discussion and Analysis for the six months ended June 30, 2024. While these opinions, estimates and assumptions are considered by the Company to be appropriate and reasonable in the circumstances as of the date of this press release, they are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause the actual results, levels of activity, performance, or achievements to be materially different from those expressed or implied by such forward-looking information.

The forward looking information, including the achievement of target revenue, gross profit, Adjusted EBITDA, cash from operating activities and cash conversion set out above, are subject to significant risks including, without limitation: that the Company will be unable to effectively execute against its key strategic growth priorities, including in respect of acquisitions; the Company will be unable to continue to retain and grow its existing customer base and market share; risks related to the Company’s business and financial position; that the Company may not be able to accurately predict its rate of growth and profitability; risks related to economic and political uncertainty; income tax related risks; and those risk factors discussed in greater detail under the “Risk Factors” section of the Company’s most recent annual information form and under the heading “Risks and Uncertainties” in the Company’s most recent Management’s Discussion and Analysis, which are each available under the Company’s profile on SEDAR+ at www.sedarplus.ca. Many of these risks are beyond the Company’s control.

If any of these risks or uncertainties materialize, or if the opinions, estimates or assumptions underlying the forward-looking information prove incorrect, actual results or future events might vary materially from those anticipated in the forward-looking information. Although the Company has attempted to identify important risk factors that could cause actual results to differ materially from those contained in forward-looking information, there may be other risk factors not presently known to the Company or that the Company presently believes are not material that could also cause actual results or future events to differ materially from those expressed in such forward-looking information.

Although the Company bases these forward-looking statements on assumptions that it believes are reasonable when made, the Company cautions investors that forward-looking statements are not guarantees of future performance and that its actual results of operations, financial condition and liquidity and the development of the industry in which it operates may differ materially from those made in or suggested by the forward-looking statements contained in this press release. In addition, even if the Company’s results of operations, financial condition and liquidity and the development of the industry in which it operates are consistent with the forward-looking statements contained in this press release, those results of developments may not be indicative of results or developments in subsequent periods.

There can be no assurance that such information will prove to be accurate, as actual results and future events could differ materially from those anticipated in such information. No forward-looking statement is a guarantee of future results. Accordingly, you should not place undue reliance on forward-looking information, which speaks only as of the date made. The forward-looking information contained in this press release represents the company’s expectations as of the date specified herein, and are subject to change after such date. However, the Company disclaims any intention or obligation or undertaking to update or revise any forward-looking information or to publicly announce the results of any revisions to any of those statements, whether as a result of new information, future events or otherwise, except as required under applicable securities laws. Comparisons of results for current and any prior periods are not intended to express any future trends or indications of future performance, unless specifically expressed as such, and should only be viewed as historical data.

All of the forward-looking information contained in this press release is expressly qualified by the foregoing cautionary statements.

For further information contact: Converge Technology Solutions Corp., Email: investors@convergetp.com, Phone: 416-360-1495

View original content:https://www.prnewswire.co.uk/news-releases/converge-reports-preliminary-third-quarter-2024-results-302285743.html

Technology

Safetyfirst Systems, LLC Provides Notice of Data Security Event

Published

44 minutes ago

July 24, 2026

PARSIPPANY, N.J., July 23, 2026 /PRNewswire/ — Safetyfirst Systems, LLC (“SFS”) is providing notice of a data security event that may involve information relating to certain individuals. While SFS is not aware of any misuse of information associated with this event, it is providing notice to potentially affected individuals out of an abundance of caution.

On January 19, 2026, SFS identified suspicious activity involving a limited portion of its server environment. Upon discovering the activity, SFS quickly took steps to secure its systems, notified federal law enforcement, engaged leading third-party forensic specialists, and performed a detailed investigation into the nature, scope, and impact of the activity. The investigation determined that an unauthorized actor accessed and/or acquired certain files from limited SFS systems between January 16, 2026, and January 19, 2026. SFS then conducted a comprehensive review of the affected files to determine what information may have been involved and identify the individuals to whom the information relates. The review has recently concluded, and SFS is providing this notification to potentially impacted individuals out of an abundance of caution. Although the types of information vary by individual, the affected information may include names, Social Security numbers, and driver’s license numbers.

Protecting the privacy and security of the information entrusted to SFS is a responsibility the company takes very seriously. In response to this event, SFS promptly strengthened security measures, continues to enhance its technical safeguards and monitoring capabilities, and is reviewing existing policies and procedures to further protect against similar incidents in the future. SFS is also providing notice to potentially affected individuals and, where required, appropriate regulatory authorities.

Although SFS is unaware of any misuse of personal information impacted by this event, individuals are encouraged to remain vigilant against events of identity theft by reviewing account statements, explanation of benefits, and monitoring free credit reports for suspicious activity and to detect errors. Any suspicious activity should be reported to the appropriate insurance company, health care provider, or financial institution.

Individuals seeking additional information regarding this event can contact SFS’s dedicated assistance line at 1-833-289-5523 between the hours of 7:00 a.m. to 7:00 p.m. Eastern time, Monday through Friday, excluding holidays. Individuals may also write to SFS at PO Box 101, 3299 US Highway 46, Parsippany, NJ 07054-9998.

View original content:https://www.prnewswire.com/news-releases/safetyfirst-systems-llc-provides-notice-of-data-security-event-302831894.html

SOURCE Safetyfirst Systems, LLC

Technology

Sunrate and Mastercard Release White Paper on Agentic AI and the Future of B2B Global Payments

Published

44 minutes ago

July 24, 2026

SHANGHAI, July 24, 2026 /PRNewswire/ — Sunrate, the global payment and treasury management platform, and Mastercard, a global technology company in the payments industry, unveiled a joint white paper, Beyond Automation: Defining Agentic Global Payments, at the 2026 World Artificial Intelligence Conference (WAIC).

Among the first reports in the payments industry to examine the impact of Agentic AI on B2B cross-border payments, the white paper provides a comprehensive framework for understanding how AI agents are reshaping enterprise payment operations. It proposes that cross-border payments are evolving beyond digitisation and automation into a new stage: Autonomy—where AI agents with reasoning, planning, and execution capabilities can independently orchestrate and optimise end-to-end payment and treasury workflows within defined governance frameworks.

As businesses expand across borders, B2B cross-border payments continue to be constrained by fragmented workflows, disconnected systems, foreign exchange inefficiencies, rising compliance requirements, and complex reconciliation processes. While traditional automation improves individual tasks, the white paper demonstrates that Agentic AI represents a fundamental shift by enabling intelligent agents to coordinate entire payment journeys across systems, counterparties, and approval workflows.

Drawing on Sunrate’s global payment infrastructure and AI-native product capabilities, together with Mastercard’s expertise in secure payment networks and data intelligence, the white paper defines Agentic Global Payments — a new category of AI-native global payment infrastructure built to automate and manage complex enterprise workflows.

The report identifies 16 major pain points across the B2B payment lifecycle and outlines 13 high-value AI use cases spanning supplier onboarding, accounts payable and receivable, virtual commercial cards, payment routing, foreign exchange management, compliance screening, fraud detection, reconciliation, and conversational operational support. It also demonstrates how AI agents can automate complex workflows—from extracting information across multiple document formats and conducting compliance checks to initiating payments, optimising FX execution, and completing reconciliation—while operating within enterprise governance and control frameworks.

The white paper further highlights that trusted adoption of agentic payments depends on more than technological capability. It identifies governance, transparency, security, and ecosystem collaboration as essential foundations for enterprise deployment, supported by frameworks such as Know Your Agent (KYA), payment tokenisation, auditability, and cross-industry interoperability.

Sunrate.AI portfolio currently includes the Payment Agent, FX Agent, Compliance Agent, Onboarding Agent, and Chat Agent, designed to help enterprises automate and optimise critical payment and treasury processes while maintaining compliance and operational control.

Mastercard has also been actively building the foundations for trusted agentic commerce – combining AI capabilities with verifiable authorisation, clear accountability and proven payments security. Its work in this area, including Agent Pay (alongside Agent Pay for Machines) and Verifiable Intent, are proof points in how Mastercard is enabling AI to participate in commerce safely and transparently.

“Our mission is to make global payments seamless, compliant, and intelligent,” said Paul Meng, Co-founder and CEO of Sunrate. “As businesses continue expanding internationally, AI agents will fundamentally reshape how enterprises manage global payments—enabling smoother capital flows, reducing operational friction, and embedding real-time intelligence into every payment decision. This white paper represents an important step in helping the industry understand how Agentic AI can be deployed responsibly at enterprise scale.”

“Agentic commerce is changing how businesses make and execute payment decisions, but speed without accountability creates new categories of risk,” said Anouska Ladds, Executive Vice President, Commercial & New Payment Flows, Asia Pacific, Mastercard. “As AI starts to act on behalf of businesses, autonomous payment decisions need a clear, auditable chain of identity, intent and action. That’s what allows organisations to delegate with genuine confidence — and what will determine whether agentic commerce scales past pilots.”

Released under WAIC 2026’s theme, “Intelligent Partners, Co-creating the Future,” the white paper provides business leaders with practical guidance on adopting AI-driven payment capabilities, covering implementation approaches, governance considerations, and real-world enterprise applications.

By combining Sunrate’s expertise in global payments and treasury management with Mastercard’s trusted payment infrastructure and network capabilities, the collaboration reflects a shared commitment to accelerating the next generation of intelligent, secure, and autonomous B2B global payments.

Click here to check the white paper.

About Sunrate

Sunrate is a leading global payment and treasury management platform for businesses worldwide. Founded in 2016, Sunrate has enabled companies to operate and scale both locally and globally in 190+ countries and regions with its cutting-edge infrastructure, global network, and unified solutions.

Sunrate operates through offices across key markets, including Singapore, Kuala Lumpur, Jakarta, Hong Kong, Shanghai, and London. The company partners with the top global financial institutions, such as Citibank, Standard Chartered, Barclays, J.P. Morgan. Sunrate is also the principal member of Mastercard and Visa. To learn more about Sunrate, visit https://www.sunrate.com/.

About Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

www.mastercard.com

SOURCE Sunrate

Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP

Published

45 minutes ago

July 24, 2026

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 able to stay onshore inside their own network

SYDNEY, 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 need operational data to stay onshore, 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 can run on the customer’s own hardware, keeping operational data onshore.”

“For teams across Australia, New Zealand, and Singapore, two things matter: keeping data onshore, and getting answers when a job fails after hours,” said Shayne Cooper, Account Executive for APAC at JAMS Software. “JAX and JAMS MCP address both. The model can run on the customer’s own hardware, and the answer arrives in plain language at the moment it is needed.”

JAX and JAMS MCP are available now to all JAMS Web customers across Australia, New Zealand, and Singapore, 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/3007573/JAMS_Software.jpg
Photo – https://mma.prnewswire.com/media/3007574/JAX_the_AI_agent_built_into_the_JAMS_Web_Client.jpg
Photo – https://mma.prnewswire.com/media/3007575/AI_in_Jams_JAX_and_JAMS_MCP.jpg
Photo – https://mma.prnewswire.com/media/3007576/jams_mcp_ai_connector_claude_cursor.jpg

View original content:https://www.prnewswire.com/apac/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-302833800.html

SOURCE JAMS Software