Valmont Industries (VMI) Operating Expenses (2009 - 2026)
Valmont Industries (VMI) posted Operating Expenses of $174.71 million for Q2 2026, down 12.9% from $200.55 million a year earlier but up 8.3% from the prior quarter.
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Analysis
Valmont Industries (VMI) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Operating Expenses at Valmont Industries was $705.64 million, down 3.6% year-over-year; for FY2025, it was $733.02 million, up 2.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Valmont Industries' Operating Expenses was $716.63 million in FY2024 (-10.8%), $803.63 million in FY2023 (+16.0%), $692.98 million in FY2022 (+17.3%) and $590.61 million in FY2021 (+12.9%).
- Quarterly Operating Expenses has run from a low of $151.21 million in Q3 2021 to a high of $219.39 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with an average decline of 3.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 23.2%; the weakest was Q2 2026, with a decline of 12.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $161.25 million (Q1 2026), $192.89 million (Q4 2025) and $176.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Valmont Industries | 8.94 Bn | 8.23 Bn | 340.82 Mn | 174.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 174.71 Mn |
| Mar 28, 2026 | 161.25 Mn |
| Dec 27, 2025 | 192.89 Mn |
| Sep 27, 2025 | 176.79 Mn |
| Jun 28, 2025 | 200.55 Mn |
| Mar 29, 2025 | 162.79 Mn |
| Dec 28, 2024 | 193.03 Mn |
| Sep 28, 2024 | 175.96 Mn |
| Jun 29, 2024 | 172.97 Mn |
| Mar 30, 2024 | 174.66 Mn |
| Dec 30, 2023 | 219.39 Mn |
| Sep 30, 2023 | 198.46 Mn |
| Jul 1, 2023 | 195.66 Mn |
| Apr 1, 2023 | 190.12 Mn |
| Dec 31, 2022 | 189.24 Mn |
| Sep 24, 2022 | 175.51 Mn |
| Jun 25, 2022 | 173.88 Mn |
| Mar 26, 2022 | 154.34 Mn |
| Dec 25, 2021 | 165.03 Mn |
| Sep 25, 2021 | 151.21 Mn |
API Access
Valmont Industries Operating Expenses 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=operating-expenses&ticker=VMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();