Alarum (ALAR) Q1 2026 earnings review
Operating Leverage Kicks In as Margins Rebound
Alarum's Q1 2026 results validate management's controversial 2025 strategy of sacrificing short-term profitability to capture AI infrastructure market share. While revenue was sequentially stable at $11.7 million (-0.9% QoQ, +64% YoY), the real story is the bottom line. Gross margins staged a massive recovery to 61.7% from 53.8% in the prior quarter, driving Adjusted EBITDA to $2.1 million (up 110% QoQ). The company now handles 50+ petabytes of monthly traffic, proving its scale. Q2 guidance projects a return to sequential top-line growth at $12.2 million, though YoY growth is visibly decelerating.
🐂 Bull Case
The strategic margin compression of 2025 has officially bottomed. Gross margin improved nearly 800 basis points sequentially, demonstrating that the front-loaded infrastructure investments are now yielding operating leverage.
Handling 50+ petabytes of monthly traffic across 80M+ IPs establishes a formidable defensive moat. Smaller competitors cannot afford the capital required to replicate this infrastructure.
🐻 Bear Case
YoY revenue growth peaked at 81% in 25Q3 and is guided to decelerate sharply to 39% in 26Q2. The hyper-growth phase from initial AI model training runs may be normalizing.
Despite boasting a 'land and expand' strategy, the Net Retention Rate (NRR) sits at a poor 0.93. The legacy proxy business is bleeding revenue faster than existing AI cohorts are expanding.
⚖️ Verdict: ⚪
Cautiously Bullish. The structural gross margin repair and return to sequential growth in Q2 guidance outweigh the optics of decelerating YoY growth rates, but legacy churn remains an anchor.
Key Themes
Gross Margin Reversing 2025 Collapse
Reversing. After plunging from 67.5% in 25Q1 down to 53.8% in 25Q4 due to heavy infrastructure onboarding for AI workloads, gross margin rebounded to 61.7% in 26Q1. This proves management's thesis that initial capacity build-outs for large AI clients would eventually yield economies of scale and better utilization rates.
AI Infrastructure Scale Moat
Accelerating. The network is now processing over 50 petabytes of data traffic per month, up from a baseline of ~5 petabytes in early 2024. With over 80 million IPs and an 85%+ success rate against modern anti-bot architectures, Alarum has built a physical and engineering barrier to entry that locks in enterprise clients.
Shift to Higher-Margin Product Suite
Stable. The company is successfully migrating customers up the value chain from basic proxy access to intelligent collection tools. Adoption of Website Unblocker, SERP solutions, and AI-ready datasets is growing. This product mix shift is a core component of the gross margin recovery story.
Net Retention Rate Contradicts Expansion Narrative
A massive red flag: The company's presentation touts a 'Land and Expand' strategy with 96% annual customer retention and 2.5-9x usage growth. Yet, the reported blended Net Retention Rate (NRR) fell to 0.93. This explicitly contradicts the bullish expansion narrative, revealing that churn in lower-quality legacy segments is completely erasing the upsell momentum from AI customers.
Top-Line Deceleration
Decelerating. Alarum is failing to recapture the $13.0M peak revenue set in 25Q3. The Q2 guidance of $12.2M means YoY growth will compress from 81% (25Q3) to 60% (25Q4) to 64% (26Q1) down to an estimated 39%. The hyper-growth narrative is cooling.
Lumpy AI Workloads
Stable. AI and LLM developers do not consume data linearly. They require massive, sudden data ingestions for training runs, followed by lulls. This structural lumpiness creates quarter-to-quarter revenue volatility, making short-term forecasting highly unreliable.
Macro AI Infrastructure Dynamics
The AI infrastructure market remains in its early, chaotic stages. Management correctly points out that customer deployment scales and demand patterns are evolving rapidly across the industry. The ongoing M&A and data licensing deals among AI titans confirm data scarcity, directly benefiting Alarum's open-web collection model.
Other KPIs
Accelerating. This doubled from $1.0 million in the prior quarter and represents an 18% margin. It showcases exceptional operating leverage given that revenue actually declined by 0.9% sequentially. However, guidance points to a slight step backward in Q2.
Stable. The balance sheet remains pristine with zero debt. Cash increased slightly from $22.5 million at the end of 2025, fully funding ongoing R&D and infrastructure investments without the need for external dilution.
Guidance
Decelerating YoY, but Reversing sequentially. The midpoint implies 39% YoY growth (down from 64% in Q1), but marks a return to sequential growth after two quarters of flat/down revenue. This suggests the digestion phase of major AI training workloads from Q3 2025 is ending.
Decelerating. A slight step down from Q1's $2.1 million result. Management explicitly noted they intend to continue prioritizing long-term infrastructure capabilities over short-term profitability optimization, suggesting another wave of OpEx investments is coming in Q2.
Key Questions
Legacy Churn Bottom
With an NRR of 0.93 contradicting your 'land and expand' successes in the AI sector, when do you model the legacy business churn completely bottoming out so that blended NRR returns above 1.0?
Margin Structural Integrity
Gross margin rebounded beautifully to 61.7%. How much of this 800 bps improvement was structural (better utilization, in-housing tech) versus just a favorable mix of customer workloads in the quarter?
Agentic Workflows Rollout
You highlighted agentic workflow capabilities launching in H2 2026. How will this be monetized compared to your current API/data consumption model, and what initial feedback are beta customers giving?