HIGHOutside partySupplier
four largest OEM parts suppliers
“10-K Item 1: 'our four largest parts suppliers, which consisted of OEMs, accounted for a substantial majority of our total parts purchases'”
SARO · Concentration risk · 10-K extracted
StandardAero (SARO) concentration risks
Updated
The most significant concentration StandardAero discloses is four largest OEM parts suppliers, 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: StandardAero’s SEC Form 10-K filed — view the filing on SEC EDGAR ↗
At a glance
Disclosed-size breakdown · 3 disclosed concentrations
HIGH1
MEDIUM1
LOW1
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).
MEDIUMOutside partyCustomer
36%
top four OEM customers
“10-K Item 1A: 'our top four OEM customers accounted for approximately 36% and 41% of our revenue, respectively'”
LOWBuilt-inCustomer
17.8%
U.S. military end-users
“10-K Item 1A: 'Services to our military end-users accounted for $1,081.0 million, or 17.8%, of our revenue for the year ended December 31, 2025'”
TrendMatrix Research · concentration synthesis
What these concentrations mean together
updated 2026-06-24The company's concentration profile spans both the supply and customer sides, with a high-share OEM parts supplier dependency and a medium-share OEM customer concentration sitting at the center of the disclosed risk, supported by a lower-share military end-user exposure. On the supply side, the four largest parts suppliers — all OEMs — accounted for a substantial majority of total parts purchases, a high-share dependency in character. Maintenance, repair, and overhaul businesses are inherently dependent on OEM-controlled parts supply, where the OEM sets pricing, manages availability, and can alter parts access terms. This creates a structural dependency that is difficult to mitigate through supplier diversification given that OEM parts are not typically interchangeable. On the customer side, the top four OEM customers accounted for approximately 36% of revenue in the most recent year — a medium-share exposure that is dependency in character. Large OEM relationships in aviation services tend to govern significant volumes of work through long-term agreements, but they are also renegotiated periodically and subject to the OEM's own financial health and fleet management decisions. The military segment adds a low-share structural dimension: services to military end-users accounted for 17.8% of revenue for the year ended December 31, 2025. The structural character reflects the long-term nature of defense maintenance and overhaul relationships, though this portion of the business is subject to defense budget cycles and program-level decisions. Together, the profile is characterized by OEM dependencies on both sides of the balance — supplier and customer — with the military customer base providing a degree of stability that is governed by different budget drivers than the commercial side.
For the engine’s reasoning on SARO’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
Industry peers · Aerospace & Defense
Peer concentration profile
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| AVAV | AeroVironment, Inc. | 1 | 1 | 2 | 4 |
| SARO● | StandardAero, Inc. | 1 | 1 | 1 | 3 |
| ACHR | Archer Aviation Inc. | 1 | 0 | 0 | 1 |
| AXON | Axon Enterprise, Inc. | 0 | 2 | 0 | 2 |
| AIR | AAR Corp. | 0 | 0 | 1 | 1 |
| ATRO | Astronics Corporation | 0 | 0 | 1 | 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.