Valmont Industries (VMI) Cost of Revenue (2009 - 2026)
Valmont Industries (VMI) posted Cost of Revenue of $777.87 million for Q2 2026, up 6.6% from $729.38 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Valmont Industries (VMI) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Cost of Revenue at Valmont Industries was $2.95 billion, up 3.4% year-over-year; for FY2025, it came in at $2.86 billion, up 1.1% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Valmont Industries' Cost of Revenue was $2.83 billion in FY2024 (-3.6%), $2.94 billion in FY2023 (-8.7%), $3.22 billion in FY2022 (+23.0%) and $2.62 billion in FY2021 (+22.9%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q4 2022.
- On a year-over-year basis, Cost of Revenue has increased in each of the last six quarters, with growth averaging 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2022, with growth of 28.3%; the weakest was Q2 2023, with a decline of 15.0%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $712.32 million (Q1 2026), $728.84 million (Q4 2025) and $727.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Valmont Industries | 9.25 Bn | 8.55 Bn | 340.82 Mn | 777.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 777.87 Mn |
| Mar 28, 2026 | 712.32 Mn |
| Dec 27, 2025 | 728.84 Mn |
| Sep 27, 2025 | 727.73 Mn |
| Jun 28, 2025 | 729.38 Mn |
| Mar 29, 2025 | 678.21 Mn |
| Dec 28, 2024 | 724.27 Mn |
| Sep 28, 2024 | 718.48 Mn |
| Jun 29, 2024 | 719.46 Mn |
| Mar 30, 2024 | 671.61 Mn |
| Dec 30, 2023 | 732.59 Mn |
| Sep 30, 2023 | 735.18 Mn |
| Jul 1, 2023 | 716.90 Mn |
| Apr 1, 2023 | 753.90 Mn |
| Dec 31, 2022 | 832.56 Mn |
| Sep 24, 2022 | 811.90 Mn |
| Jun 25, 2022 | 842.93 Mn |
| Mar 26, 2022 | 731.63 Mn |
| Dec 25, 2021 | 740.99 Mn |
| Sep 25, 2021 | 641.38 Mn |
API Access
Valmont Industries Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=VMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "VMI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();