Valmont Industries (VMI) Return on Sales [ROS] (2009 - 2026)
Valmont Industries (VMI) reported Return on Sales [ROS] of 14.85% for Q2 2026, up 12.06 percentage points from 2.79% a year earlier but down 0.27 percentage points from the prior quarter.
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Analysis
Valmont Industries (VMI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Valmont Industries' Return on Sales [ROS] came in at 13.70%, up 3.81 percentage points year-over-year; for FY2025, it came in at 10.13%, down 2.75 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +2.32 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 12.87% in FY2024 (+5.89 pp), 6.98% in FY2023 (-2.99 pp), 9.97% in FY2022 (+1.78 pp) and 8.19% in FY2021 (+0.39 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -2.30% in Q3 2023 and a high of 15.12% in Q1 2026.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +2.89 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 14.63 percentage points); the low point was Q3 2023 (a drop of 12.32 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 15.12% (Q1 2026), 11.22% (Q4 2025) and 13.52% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Valmont Industries | 9.25 Bn | 8.55 Bn | 340.82 Mn | 14.85% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 14.85% |
| Mar 28, 2026 | 15.12% |
| Dec 27, 2025 | 11.22% |
| Sep 27, 2025 | 13.52% |
| Jun 28, 2025 | 2.79% |
| Mar 29, 2025 | 13.24% |
| Dec 28, 2024 | 11.57% |
| Sep 28, 2024 | 12.32% |
| Jun 29, 2024 | 14.17% |
| Mar 30, 2024 | 13.45% |
| Dec 30, 2023 | 6.26% |
| Sep 30, 2023 | -2.30% |
| Jul 1, 2023 | 12.78% |
| Apr 1, 2023 | 11.15% |
| Dec 31, 2022 | 9.70% |
| Sep 24, 2022 | 10.02% |
| Jun 25, 2022 | 10.45% |
| Mar 26, 2022 | 9.67% |
| Dec 25, 2021 | 5.27% |
| Sep 25, 2021 | 8.77% |
API Access
Valmont Industries Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=VMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();