Backblaze Q1 2026 slides: AI storage drives 24% B2 growth

Backblaze delivered a strong Q1 2026 beat, with revenue of $38.7 million topping estimates and non-GAAP EPS of $0.04 versus expectations for a small loss. AI-related customers rose 76% year over year, B2 Cloud Storage revenue grew 24%, and the company lifted full-year revenue guidance by $5 million to $161.5 million-$163.5 million while raising adjusted EBITDA margin outlook to 23%-25%. Shares jumped more than 70% after hours, reflecting improved margins, accelerating AI traction, and stronger growth visibility.

Analysis

BLZE’s print is less a one-quarter earnings beat than evidence that the company has found a wedge into a structurally under-served layer of the AI stack: cheap, persistent storage for training data and model artifacts. The second-order implication is that the real competitive moat is not raw capacity, but workflow attachment—once storage is embedded in ML pipelines and developer tools, switching costs rise even if the product itself is commoditized. That makes this more interesting than a generic cloud-storage rerate and explains why the move can persist beyond the initial squeeze if pipeline quality holds.

The market is likely underestimating the asymmetry between AI-led growth and legacy drag. The legacy business is a natural funding source for the transition, but if it shrinks faster than B2 scales, reported growth could look choppier even as economics improve; that creates a trap where bulls overpay for headline ARR while missing that revenue mix, not absolute growth, is the key driver of margin expansion. The bigger risk is customer concentration masked by a handful of fast-closing AI wins: early deals are often high-velocity pilots that can decelerate when usage normalizes or when hyperscalers and neoclouds renegotiate on price.

Consensus likely focuses on the earnings surprise, but the more important question is durability of gross margin gains. If AI storage becomes more usage-based, BLZE may see stronger top-line volatility and lower visibility than the market expects, which could compress the multiple once the post-earnings momentum fades. The setup is strongest over the next 1-3 quarters; over 12 months, the stock is vulnerable if the company cannot convert excitement into a repeatable enterprise sales motion rather than one-off lighthouse wins.

Key Decisions for Investors

• Trade the post-earnings momentum with a starter long in BLZE, but size it as a 1-3 month tactical position rather than a core hold; upside can extend if the market re-rates AI storage as a software-like workflow layer, but the gap-up makes it vulnerable to a 20-30% retrace on any sign of decelerating bookings.
• Use call spreads instead of outright equity: buy BLZE 3-6 month calls and finance with a higher strike sale to express upside while limiting damage if the stock mean-reverts after the earnings gap.
• Watch for a long NTAP / short BLZE pair only on a pullback if investors start separating durable enterprise storage cash flows from early-stage AI monetization; NTAP offers lower execution risk and could outperform if the market rotates from story to cash generation.
• Avoid chasing the move above the first post-earnings range unless management shows follow-through in net retention and new logo conversion next quarter; the key invalidation is if AI revenue proves pilot-heavy and pipeline quality does not convert into sustained ARR.