Valmont Industries (VMI) Return on Assets [ROA] (2010 - 2026)
Valmont Industries (VMI) posted Return on Assets [ROA] of 14.45% for Q2 2026, up 7.18 percentage points from 7.27% a year earlier and up 3.43 percentage points from the prior quarter.
Valmont Industries (VMI) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, Valmont Industries' Return on Assets [ROA] came in at 10.56%, up 0.26 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +5.62 percentage points (FY2020 to FY2025).
- In prior years, Valmont Industries' Return on Assets [ROA] was 10.30% in FY2024 (+6.18 pp), 4.12% in FY2023 (-3.14 pp), 7.26% in FY2022 (+1.08 pp) and 6.18% in FY2021 (+1.24 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Assets [ROA] in data going back to Q3 2010.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last three quarters, with an average year-over-year change of +3.21 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q2 2026, with a gain of 7.18 percentage points; the weakest was Q4 2023, with a drop of 2.92 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 11.02% (Q1 2026), 10.50% (Q4 2025) and 7.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 11.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.82% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 6.12% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 8.56% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 19.50% |
| 10 | Valmont Industries | 8.94 Bn | 8.23 Bn | 340.82 Mn | 14.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 14.45% |
| Mar 28, 2026 | 11.02% |
| Dec 27, 2025 | 10.50% |
| Sep 27, 2025 | 7.83% |
| Jun 28, 2025 | 7.27% |
| Mar 29, 2025 | 10.41% |
| Dec 28, 2024 | 10.27% |
| Sep 28, 2024 | 8.81% |
| Jun 29, 2024 | 5.01% |
| Mar 30, 2024 | 4.64% |
| Dec 30, 2023 | 4.16% |
| Sep 30, 2023 | 4.28% |
| Jul 1, 2023 | 7.63% |
| Apr 1, 2023 | 7.36% |
| Dec 31, 2022 | 7.08% |
| Sep 24, 2022 | 6.60% |
| Jun 25, 2022 | 6.07% |
| Mar 26, 2022 | 5.85% |
| Dec 25, 2021 | 5.77% |
| Sep 25, 2021 | 6.06% |
Valmont Industries Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=VMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();