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BOARDWALKTECH REPORTS FOURTH QUARTER AND ANNUAL FISCAL 2025 FINANCIAL RESULTS
Prnewswireยท 2025-07-28 20:30
Core Viewpoint - Boardwalktech Software Corp. reported its financial results for fiscal year 2025, highlighting challenges in revenue generation and strategic developments aimed at future growth [1][2][5][8]. Financial Highlights - Revenue for Fiscal 2025 was $4.8 million, a decrease of 20% from $6.0 million in Fiscal 2024, primarily due to non-renewal by two customers [5] - Annual recurring revenue (ARR) as of March 31, 2025, was $4.0 million [5] - Gross margin for Fiscal 2025 was 87.7%, slightly down from 89.6% in Fiscal 2024 [5] - Adjusted EBITDA for Fiscal 2025 was $(1.8) million, compared to $(1.6) million in Fiscal 2024 [5] - Non-IFRS net loss for Fiscal 2025 was $(2.2) million, or $(0.04) per share, compared to a loss of $(1.7) million, or $(0.03) per share in Fiscal 2024 [5] - Reported IFRS loss for Fiscal 2025 was $(3.2) million, or $(0.06) per share, compared to $(3.1) million, or $(0.06) per share in Fiscal 2024 [5] - Ending cash balance as of March 31, 2025, was $0.4 million, with total assets including trade receivables amounting to $1.0 million [5] Subsequent Events - The company raised a total of $1.3 million (CAD $1.86 million) through non-brokered placements under a LIFE Offering to support working capital and growth needs [3] - A strategic partnership was formed with Zideas Consulting to enhance digital transformation efforts [11] Operational Highlights - The company secured a 5-year extension with a Fortune 500 client, projecting over $300,000 in license revenue [6] - Expanded partnership with LTIMindtree to address risk management for a top 5 U.S. banking client [6] - Achieved a milestone with a top 5 U.S. bank, expected to generate over $300,000 in incremental revenue [6] Future Outlook - The CEO indicated that Fiscal 2026 is expected to be pivotal, with a focus on execution and potential geographic expansion [8] - Introduction of the Boardwalktech Grid Security Protocol aimed at enhancing security and efficiency in AI interactions [8]