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VEEVVeeva Systems Inc.Sell5.8·$161.35+1.03%
VEEV · Concentration risk · 10-K extracted

Veeva Systems (VEEV) concentration risks

Updated

The most significant concentration Veeva Systems discloses is North America, 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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Methodology · Editorial policy & full disclaimer

Source: Veeva Systems’s SEC Form 10-K filed view the filing on SEC EDGAR ↗

At a glance

Disclosed-size breakdown · 2 disclosed concentrations

HIGH1
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

North America

10-K Item 1A: 'customers outside North America accounted for approximately 40% of our total revenues'
SEC 10-K · filed Mar 2026
MEDIUMOutside partyCustomer
28%

top 10 customers

10-K Item 1A: 'our top 10 customers accounted for 28% of our total revenues'
SEC 10-K · filed Mar 2026
TrendMatrix Research · concentration synthesis

What these concentrations mean together

updated 2026-06-24

The company's concentration profile combines a geographic revenue tilt toward North America and a moderate customer-level dependency, both at disclosed sizes that do not individually reach the highest band. The geographic exposure is framed in the filing from the outside in: customers outside North America accounted for approximately 40% of total revenues, implying a high-share concentration in North America by residual, a structural reflection of where the life sciences software market is deepest and where the company has the longest commercial history. The structural character means this reflects the geography of pharmaceutical and biotech R&D and commercial activity rather than reliance on any single country or contract. The top 10 customers accounted for 28% of total revenues, a medium-share dependency by disclosed size. At that level the top-10 concentration is not extreme for an enterprise software business serving large pharmaceutical companies, but it does mean that renewal decisions, platform expansion, or contraction at the largest accounts carry noticeable revenue implications. The life sciences customer base tends to consolidate through M&A, which can create binary events where a merger combines two top-10 customers into one, reducing count and potentially renegotiating terms. Together the profile is well-balanced relative to software peers: a structural North America tilt reflects the center of the served market, and the top-10 customer dependency is moderate enough that no single-name departure would be decisive, though large pharma M&A remains a watch variable.

For the engine’s reasoning on VEEV’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.

Industry peers · Health Information Services

Peer concentration profile

SymbolNameHIGHMEDIUMLOWTotal
HQYHealthEquity, Inc.1113
VEEVVeeva Systems Inc.1102
HNGEHinge Health, Inc.1034
HTFLHeartflow, Inc.1001
BTSGBrightSpring Health Services, I0202
DOCSDoximity, Inc.0112

Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.

Concentration disclosures are extracted verbatim from SEC 10-K filings; the disclosed-size classification and the synthesis above are engine-derived. Size reflects how large each exposure is against fixed share thresholds (HIGH >50%, MEDIUM 25–50%, LOW <25% or an explicit diversification statement), not a judgment of how dangerous it is, and is not a buy/sell rating, a price target, or a view on the stock. Not a complete list of risk factors — see the full filing.

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