25 customers generating more than $1 million in revenue
“10-K Item 1A: 'we had 25 customers generating more than $1 million in annual revenue, which represented 75% of revenue in 2025'”
Updated
The most significant concentration Blend Labs discloses is 25 customers generating more than $1 million in revenue at 75%, classified HIGH by disclosed size. Below: the full set from the latest 10-K — verbatim quotes, filing references, and a synthesis of what these exposures mean together.
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Source: Blend Labs’s SEC Form 10-K filed — view the filing on SEC EDGAR ↗
Each card carries a disclosed-size chip (HIGH / MEDIUM / LOW — how large the exposure is as a share of revenue, not how dangerous it is) and a nature tag: Built-in(the company’s own model, geography, or products) or Outside party (an external customer, supplier, or distributor it relies on).
“10-K Item 1A: 'we had 25 customers generating more than $1 million in annual revenue, which represented 75% of revenue in 2025'”
“10-K Item 1A: 'For 2025, our top five customers accounted for 39% of revenue'”
Blend Labs' revenue base is concentrated among a relatively small set of large customers. In 2025, 25 customers each generating more than $1 million in annual revenue represented 75% of total revenue — a high-share dependency, meaning a large majority of revenue rests on a few dozen relationships rather than a broad, diversified customer base. Within that group, the top five customers alone accounted for 39% of revenue — a medium-share dependency, meaning a meaningful portion of the already-concentrated 75% sits with just five buyers. Both exposures share the same character: dependency on the continuity and expansion of specific customer relationships rather than a structural feature of Blend's business model. Because the top-five figure is nested inside the broader 25-customer figure, the two numbers describe the same underlying concentration at different levels of granularity rather than two separate risks — a loss of even one or two of the top five customers would ripple through both metrics simultaneously. For a company at Blend's stage, this level of customer dependency is the type of exposure most capable of moving the verdict quickly, since retention or expansion decisions by a small number of named-tier customers carry disproportionate influence over the top line relative to a more diversified peer.
For the engine’s reasoning on BLND’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| ADSK | Autodesk, Inc. | 1 | 1 | 1 | 3 |
| BLND● | Blend Labs, Inc. | 1 | 1 | 0 | 2 |
| ADEA | Adeia Inc. | 1 | 0 | 0 | 1 |
| AGYS | Agilysys, Inc. | 0 | 2 | 0 | 2 |
| ADBE | Adobe Inc. | 0 | 0 | 0 | 0 |
| ADP | Automatic Data Processing, Inc. | 0 | 0 | 0 | 0 |
Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.