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Alarum Technologies: Well Positioned To Benefit From AI/ML Revolution

ALAR
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Alarum Technologies: Well Positioned To Benefit From AI/ML Revolution

Alarum Technologies (ALAR), a web data collection specialist, is strategically pivoting to capitalize on the AI/ML revolution, despite reporting a 1.05% year-over-year revenue decline to $8.8 million in 2Q25 and significant operating margin deterioration due to increased R&D and S&M expenses. The company forecasts robust 3Q25 revenue growth of approximately 78% year-over-year to $12.8 million, driven by new AI-related projects, though profitability is expected to remain compressed due to ongoing investments. An analyst projects a 48.79% upside based on sector-median multiples and an assumed 28.4% revenue CAGR, while highlighting risks such as revenue concentration and the possibility of future AI models requiring less data.

Analysis

Alarum Technologies (ALAR) is executing a strategic pivot towards the AI data collection market, presenting a high-growth, high-risk investment profile. Despite a recent top-line contraction in 2Q25, with revenue declining 1.05% year-over-year to $8.8 million, the company has issued aggressive guidance for 3Q25, forecasting approximately $12.8 million in revenue, a 78% YoY increase. This projected growth is attributed to new projects with large-scale AI platforms. However, this strategic shift is currently pressuring profitability, as evidenced by the operating margin collapse from 30.16% to -0.23% in 2Q25, driven by a surge in R&D and S&M expenses to 61.95% of revenues. The company's valuation is demanding, trading at a 56.68x EV/EBITDA multiple compared to the 14.80x sector median, pricing in significant future growth. The investment thesis hinges on ALAR's ability to capitalize on the expanding data collection market, projected to grow at a 28.4% CAGR. Key risks that temper the outlook include high customer concentration, with seven clients accounting for nearly 40% of revenue, and the fundamental risk that future AI models may require less data, undermining the core business driver.

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