HIGHBuilt-inGeographic
83.7%
international sales
“10-K Item 1A: 'International sales...accounted for 83.7% of total revenue in 2025'”
ACLS · Concentration risk · 10-K extracted
Axcelis Technologies (ACLS) concentration risks
Updated
The most significant concentration Axcelis Technologies discloses is international sales at 83.7%, 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.
Model-generated analysis — not investment advice. Not a registered investment advisor. Past performance does not guarantee future results.
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Source: Axcelis Technologies’s SEC Form 10-K filed — view the filing on SEC EDGAR ↗
At a glance
Disclosed-size breakdown · 4 disclosed concentrations
HIGH3
MEDIUM1
LOW0
Disclosed concentrations
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).
HIGHBuilt-inGeographic
76%
Asia
“10-K Item 1A: 'Ion implanter system shipments to customers in Asia represented 76.0% of total system revenue in 2025'”
HIGHOutside partyCustomer
55.2%
top ten customers
“10-K Item 1A: 'our top ten customers accounted for 55.2% of our net sales'”
MEDIUMOutside partySupplier
limited group of suppliers
“10-K Item 1A: 'We obtain many of these components and sub-assemblies from a limited group of suppliers'”
TrendMatrix Research · concentration synthesis
What these concentrations mean together
updated 2026-06-24Axcelis Technologies carries a layered concentration profile where geographic, customer, and supplier exposures all reinforce one another at large disclosed shares. International sales accounted for 83.7% of total revenue in 2025 — the largest single concentration in the profile. Within that, ion implanter system shipments to customers in Asia represented 76.0% of total system revenue in 2025, making the Asia exposure the geographic sub-concentration that defines the overall revenue base. Both are structural in character: they reflect where global semiconductor manufacturing capacity is sited rather than any contractual arrangement that could be abruptly renegotiated. Customer concentration amplifies the geographic picture. The top ten customers accounted for 55.2% of net sales, a large share indicating that a small group of major semiconductor manufacturers drives the majority of Axcelis's revenue. Because these customers are largely located in Asia, the geographic and customer concentrations are correlated rather than independent — an industry downturn, trade restriction, or capacity reduction in Asian semiconductor manufacturing would affect both dimensions simultaneously rather than one offsetting the other. On the supply side, the company sources many components and sub-assemblies from a limited group of suppliers, a moderate-share dependency that adds an idiosyncratic risk: a disruption to that limited supply base could constrain the ability to fulfill orders even if customer demand remains intact. In aggregate, the profile is dominated by a tightly correlated pair of high-share exposures — Asian geography and a concentrated customer base — with a secondary supply-chain dependency. Trade policy developments affecting semiconductor equipment exports to Asia are the most direct macro variable to monitor.
For the engine’s reasoning on ACLS’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
Industry peers · Semiconductor Equipment & Materials
Peer concentration profile
| 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 |
| AMAT | Applied Materials, Inc. | 2 | 0 | 2 | 4 |
| AMKR | Amkor Technology, Inc. | 1 | 2 | 0 | 3 |
| AXTI | AXT Inc | 1 | 0 | 0 | 1 |
Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.