HIGHBuilt-inGeographic
53%
United States
“10-K Item 1: 'approximately 53% of our products sold were shipped to locations in the United States'”
ITGR · Concentration risk · 10-K extracted
Integer Holdings (ITGR) concentration risks
Updated
The most significant concentration Integer Holdings discloses is United States at 53%, 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: Integer Holdings’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).
HIGHOutside partySupplier
single supplier raw materials
“10-K Item 1A: 'we obtain some raw materials from a single supplier'”
MEDIUMOutside partyCustomer
49%
Abbott Laboratories, Boston Scientific and Medtronic
“10-K Item 1: 'three of our customers, Abbott Laboratories, Boston Scientific and Medtronic were each in excess of 10% of total sales and collectively accounted for 49% of our total sales.'”
TrendMatrix Research · concentration synthesis
What these concentrations mean together
updated 2026-06-24The company's concentration profile spans three disclosures: a high-share geographic revenue tilt, a high-share single-source supplier dependency, and a moderate customer concentration. Approximately 53% of products sold were shipped to locations in the United States, a high-share structural concentration that reflects the company's primary market for medical device component manufacturing. The geographic weight is structural — tied to where the company's largest customers are based and where implantable device manufacturing is most concentrated. On the supply side, the company obtains some raw materials from a single supplier, a high-share dependency. Single-source raw material arrangements carry inherent vulnerability: a disruption at that supplier — from financial stress, capacity constraints, or quality issues — could halt production without a ready alternative. Given the precision manufacturing requirements in the medical device supply chain, qualifying a new supplier can be a lengthy, regulatory-intensive process, which amplifies the dependency risk. The customer base has a moderate concentration: Abbott Laboratories, Boston Scientific, and Medtronic each exceeded 10% of total sales individually and collectively accounted for 49% of total sales. This is a dependency exposure, as a meaningful portion of revenue is tied to the order patterns and capital spending decisions of three large medical device OEMs. A shift in procurement strategy or a major program cancellation at any of those customers would be visible in results. Together, the three disclosures present a profile typical of a tier-one medical device contract manufacturer: geographically centered on the U.S., raw-material dependent on select sole-source vendors, and customer-exposed to a concentrated group of large OEMs.
For the engine’s reasoning on ITGR’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
Industry peers · Medical Devices
Peer concentration profile
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| AORT | Artivion, Inc. | 4 | 4 | 0 | 8 |
| ITGR● | Integer Holdings Corporation | 2 | 1 | 0 | 3 |
| ATEC | Alphatec Holdings, Inc. | 1 | 1 | 0 | 2 |
| ABT | Abbott Laboratories | 1 | 0 | 0 | 1 |
| AXGN | AxoGen, Inc. | 0 | 0 | 0 | 0 |
| BIO | Bio-Rad Laboratories, 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.