wind tower customers
“10-K Item 1A: 'Arcosa's wind tower customer base is highly concentrated due to a limited number of companies constructing wind towers'”
Updated
The most significant concentration Arcosa discloses is wind tower customers, 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: Arcosa’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: 'Arcosa's wind tower customer base is highly concentrated due to a limited number of companies constructing wind towers'”
“10-K Item 1: 'Our largest markets are Texas and New Jersey, which represent approximately 35% and 20% of 2025 segment revenues'”
“10-K Item 1A: 'GE Vernova accounted for approximately 12.2% of our consolidated revenues in 2025'”
Arcosa's concentrations cluster in three places. The wind tower customer base is highly concentrated, reflecting the small number of companies that construct wind towers — a high-share customer dependency by disclosed size, and the one most exposed to a single program or order shift. Geographically, the two largest markets are Texas and New Jersey, which represent approximately 35% and 20% of segment revenues respectively — a medium-share, structural tilt that tracks where infrastructure demand sits. Separately, GE Vernova accounted for approximately 12.2% of consolidated revenues, a low-share customer dependency. Netting these out, the wind tower customer concentration is the dominant feature: it is the highest-share exposure and the most idiosyncratic, since it rests on a handful of buyers. The Texas and New Jersey geographic weighting and the single GE Vernova relationship are secondary, adding regional and customer sensitivity without matching the wind tower line's structural reliance.
For the engine’s reasoning on ACA’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| ACA● | Arcosa, Inc. | 1 | 1 | 1 | 3 |
| AGX | Argan, Inc. | 1 | 0 | 3 | 4 |
| ACM | AECOM | 0 | 2 | 0 | 2 |
| BLD | TopBuild Corp. | 0 | 1 | 0 | 1 |
| CDNL | Cardinal Infrastructure Group I | 0 | 1 | 0 | 1 |
| APG | APi Group Corporation | 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.