international operations
“10-K Item 1A: 'In 2025, revenue from international operations amounted to approximately 76% of total revenue'”
Updated
The most significant concentration Diebold Nixdorf discloses is international operations at 76%, 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: Diebold Nixdorf’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, revenue from international operations amounted to approximately 76% of total revenue'”
“10-K Item 1: 'Banking net sales represented 73.5% and 73.7% of total net sales for the years ended December 31, 2025 and 2024, respectively.'”
“10-K Item 1A: 'In some instances, the Company depends upon a single source of supply. Any service disruption from one of these suppliers could have a material adverse effect'”
The company's concentration profile has three distinct dimensions that together describe a business with end-market and product-mix exposures that are structural in character, layered on top of a supplier dependency that is idiosyncratic. On the revenue side, 76% of total revenue is generated outside the United States — a high-share geographic skew that reflects where the installed base of financial self-service and retail point-of-sale hardware sits globally. This exposure moves with regional economic conditions and currency, but because it tracks broad infrastructure demand rather than any single foreign customer, it behaves like an economic-cycle exposure rather than a counterparty risk. Nested within that, the Banking segment generates 73.5% [C1–C2] of total net sales, a high-share product tilt that is equally structural — the company's technology and service contracts are deeply embedded in bank branch infrastructure, and that mix shifts only gradually. The more idiosyncratic risk is supply-side: the company depends on a single source of supply for certain inputs, a high-share dependency where any disruption could have a material adverse effect on operations. That is the one element of the profile that is not self-correcting over time. On balance, the geographic and product concentrations are structural features of the business model; the single-source supplier exposure is the variable most worth monitoring for tail risk.
For the engine’s reasoning on DBD’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| DBD● | Diebold Nixdorf Incorporated | 3 | 0 | 0 | 3 |
| ADSK | Autodesk, Inc. | 1 | 1 | 1 | 3 |
| ADEA | Adeia Inc. | 1 | 0 | 0 | 1 |
| AGYS | Agilysys, Inc. | 0 | 2 | 0 | 2 |
| ADBE | Adobe Inc. | 0 | 0 | 0 | 0 |
| ADP | Automatic Data Processing, 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.