top-ten customers
“10-K Item 1A: 'In 2025, our ten largest customers represented 60% of total revenue.'”
Updated
The most significant concentration Cohu discloses is top-ten customers at 60%, 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: Cohu’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: 'In 2025, our ten largest customers represented 60% of total revenue.'”
“10-K Item 1A: 'we depend upon Jabil to manufacture most of our semiconductor test systems from its facility located in Malaysia.'”
“10-K Item 1A: 'Many key parts may be available only from a single supplier or a limited number of suppliers, increasing our vulnerability to supply interruptions.'”
Cohu's concentration spans customers and suppliers alike. On the revenue side, the ten largest customers represented 60% of total revenue in the most recent year, a high, dependency-type exposure typical of the semiconductor test equipment industry's concentrated customer base. On the supply side, the company depends on Jabil to manufacture most of its semiconductor test systems from a single facility in Malaysia, also a high dependency, and separately notes that many key parts are available only from a single supplier or a limited number of suppliers, increasing vulnerability to supply interruptions at the same high level. These three exposures compound rather than offset: a slowdown among the largest customers would hit revenue directly, while a disruption at Jabil's Malaysia facility or among single-source component suppliers could constrain the company's ability to fulfill whatever demand does exist. All three are dependency-type risks rather than purely macro-cyclical ones, meaning idiosyncratic events — a customer's capex pause, a manufacturing disruption, or a component shortage — could each independently affect results, and the combination leaves limited redundancy across the value chain.
For the engine’s reasoning on COHU’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| ACLS | Axcelis Technologies, Inc. | 3 | 1 | 0 | 4 |
| ACMR | ACM Research, Inc. | 3 | 0 | 0 | 3 |
| AMBA | Ambarella, Inc. | 3 | 0 | 0 | 3 |
| COHU● | Cohu, Inc. | 3 | 0 | 0 | 3 |
| AMAT | Applied Materials, Inc. | 2 | 0 | 2 | 4 |
| AEHR | Aehr Test Systems | 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.