ALAR — Alarum Technologies Ltd.

Alarum Technologies Q3 2025 Earnings Call Summary

1. Key Financial Results and Metrics:

• Revenues: $13 million, up 81% year-over-year and 48% sequentially, driven primarily by increased demand from AI customers.
• Gross Margin: Non-IFRS gross margin decreased to 56% from 74% year-over-year, attributed to higher costs associated with large-scale AI projects and third-party partnerships.
• Operating Expenses: Increased to $7.4 million from $4.1 million, mainly due to investments in R&D and sales.
• Net Profit: $0.1 million, a decline from $4.2 million in Q3 2024, influenced by a one-time financial income from warrant fair value adjustments in the prior year.
• Adjusted EBITDA: $1.2 million, slightly down from $1.4 million year-over-year.
• Basic Earnings per ADS: $0.01, compared to $0.60 in Q3 2024; non-IFRS basic earnings per ADS were $0.18, down from $0.20.

2. Strategic Updates and Business Highlights:

• Alarum is focusing on long-term relationships and market share capture over short-term profitability, particularly in the AI sector.
• The company has expanded its customer base by 26% and increased average revenue per customer by 17%.
• Significant traction from major global e-commerce platforms in Asia, with repeat and expanding orders noted.
• The product suite is diversifying, with strong growth in AI-centric offerings such as dataset scrapers and website unblockers.

3. Forward Guidance and Outlook:

• For Q4 2025, Alarum expects revenues of approximately $12 million, representing a 62% year-over-year increase.
• Full-year revenue guidance is projected at around $41 million, up nearly 30% year-over-year.
• Adjusted EBITDA for Q4 is expected to be around $1 million, with a range of plus/minus $0.5 million.

4. Bad News, Challenges, or Points of Concern:

• The decline in gross margins is a significant concern, driven by initial costs associated with large customers and reliance on third-party vendors.
• The volatility in demand from R&D customers, which can fluctuate significantly, poses a risk to revenue predictability.
• Operating expenses are rising, which could impact profitability if not managed effectively.
• The competitive landscape may pressure pricing and margins as smaller players struggle to keep up with infrastructure demands.

5. Notable Q&A Insights:

• Customer satisfaction remains high, particularly with large-scale data set delivery, but future revenue consistency from R&D customers is uncertain due to their evolving needs.
• Alarum is leveraging existing customer relationships to expand the use of its new dataset delivery solutions.
• The company anticipates that as it reduces reliance on third-party vendors, gross margins will recover, but this will depend on achieving sustainable demand and optimizing infrastructure.
• There is optimism that pricing will improve as competition among smaller players diminishes and as Alarum enhances its operational efficiencies.

Overall, while Alarum Technologies reported strong revenue growth and positive customer engagement, it faces challenges with margin pressures and the unpredictability of demand in the AI sector. The company remains focused on strategic investments and long-term growth potential.