HIGHBuilt-inProduct / Revenue mix
86%
materials processing
“10-K Item 1A: 'Approximately 86% of our revenues in 2025 were from customers in the materials processing market'”
IPGP · Concentration risk · 10-K extracted
IPG Photonics (IPGP) concentration risks
Updated
The most significant concentration IPG Photonics discloses is materials processing at 86%, 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: IPG Photonics’s SEC Form 10-K filed — view the filing on SEC EDGAR ↗
At a glance
Disclosed-size breakdown · 3 disclosed concentrations
HIGH2
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-inSupplier
single manufacturing facility for diodes
“10-K Item 1A: 'We do not have redundant production lines for some of our components, such as our diodes and some other components, which are made at a single manufacturing facility'”
MEDIUMBuilt-inGeographic
29%
China
“10-K Item 1A: 'A significant portion of our sales are to customers in China, which accounted for 29%, 25% and 28% of net sales in 2025, 2024 and 2023, respectively'”
TrendMatrix Research · concentration synthesis
What these concentrations mean together
updated 2026-06-24The company's concentration profile spans three disclosures: a dominant end-market, a single-facility manufacturing dependency, and a meaningful geographic customer tilt. Approximately 86% of revenues in 2025 came from customers in the materials processing market, a high-share structural concentration. Materials processing — cutting, welding, and related industrial laser applications — is the core of the company's commercial strategy, and this share reflects deliberate market focus rather than accidental customer mix. The structural nature means the exposure moves with industrial capex cycles, manufacturing activity levels, and the pace of laser adoption in fabrication. Compounding the end-market concentration is a manufacturing dependency: the company does not have redundant production lines for some components, including diodes and certain other components, which are made at a single manufacturing facility. This is a high-share dependency: diodes are a core enabling component for fiber lasers, and a disruption at the single production facility — whether from fire, equipment failure, or natural disaster — could constrain product output across the business with limited ability to reroute. China accounted for 29% of net sales in 2025, a moderate geographic customer concentration that is also structural given the scale of Chinese manufacturing activity. China-specific demand cycles, export control developments, and local competitive dynamics therefore represent a meaningful but bounded geographic variable. The three exposures compound: materials processing demand in China is the intersection where the end-market concentration and geographic concentration overlap, making that market segment the most critical to track.
For the engine’s reasoning on IPGP’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 |
| IPGP● | IPG Photonics Corporation | 2 | 1 | 0 | 3 |
| AMAT | Applied Materials, Inc. | 2 | 0 | 2 | 4 |
| AMKR | Amkor Technology, Inc. | 1 | 2 | 0 | 3 |
Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.