Valmont Industries (VMI) Return on Capital Employed [ROCE] (2010 - 2026)
Valmont Industries (VMI) reported Return on Capital Employed [ROCE] of 21.53% for Q2 2026, up 5.72 percentage points from 15.81% a year earlier and up 4.85 percentage points from the prior quarter.
Valmont Industries (VMI) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Valmont Industries posted Return on Capital Employed [ROCE] of 15.87%, down 4.36 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +5.64 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 20.24% in FY2024 (+9.80 pp), 10.43% in FY2023 (-5.62 pp), 16.06% in FY2022 (+4.28 pp) and 11.78% in FY2021 (+1.54 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2010.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last eight quarters, with an average year-over-year change of +3.16 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2024 (a gain of 9.59 percentage points); the low point was Q1 2024 (a drop of 5.43 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 16.67% (Q1 2026), 15.76% (Q4 2025) and 16.25% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | Valmont Industries | 9.25 Bn | 8.55 Bn | 340.82 Mn | 21.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 21.53% |
| Mar 28, 2026 | 16.67% |
| Dec 27, 2025 | 15.76% |
| Sep 27, 2025 | 16.25% |
| Jun 28, 2025 | 15.81% |
| Mar 29, 2025 | 20.11% |
| Dec 28, 2024 | 20.16% |
| Sep 28, 2024 | 17.29% |
| Jun 29, 2024 | 11.55% |
| Mar 30, 2024 | 10.89% |
| Dec 30, 2023 | 10.57% |
| Sep 30, 2023 | 11.95% |
| Jul 1, 2023 | 16.49% |
| Apr 1, 2023 | 16.32% |
| Dec 31, 2022 | 15.55% |
| Sep 24, 2022 | 13.46% |
| Jun 25, 2022 | 12.17% |
| Mar 26, 2022 | 11.29% |
| Dec 25, 2021 | 10.77% |
| Sep 25, 2021 | 10.92% |
Valmont Industries Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();