Valmont Industries (VMI) Accumulated Expenses (2009 - 2026)
Valmont Industries' Accumulated Expenses was $139.59 million in Q2 2026, down 3.8% from $145.17 million a year earlier and down 19.1% from the prior quarter.
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Analysis
Valmont Industries (VMI) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Valmont Industries came in at $156.6 million, up 18.3% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $132.38 million in FY2024 (-9.9%), $146.9 million in FY2023 (+18.5%), $123.97 million in FY2022 (+14.0%) and $108.77 million in FY2021 (+21.1%).
- The Q2 2026 figure marks the lowest quarterly Accumulated Expenses since Q4 2024.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2022 (growth of 24.5%); the worst was Q4 2024 (a decline of 9.9%).
- Per Business Quant data, VMI's Accumulated Expenses in the three quarters before Q2 2026 was $172.59 million (Q1 2026), $156.6 million (Q4 2025) and $156.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 139.59 Mn |
| Mar 28, 2026 | 172.59 Mn |
| Dec 27, 2025 | 156.60 Mn |
| Sep 27, 2025 | 156.72 Mn |
| Jun 28, 2025 | 145.17 Mn |
| Mar 29, 2025 | 140.76 Mn |
| Dec 28, 2024 | 132.38 Mn |
| Sep 28, 2024 | 155.02 Mn |
| Jun 29, 2024 | 139.52 Mn |
| Mar 30, 2024 | 149.22 Mn |
| Dec 30, 2023 | 146.90 Mn |
| Sep 30, 2023 | 145.67 Mn |
| Jul 1, 2023 | 131.34 Mn |
| Apr 1, 2023 | 130.75 Mn |
| Dec 31, 2022 | 123.97 Mn |
| Sep 24, 2022 | 136.34 Mn |
| Jun 25, 2022 | 130.11 Mn |
| Mar 26, 2022 | 118.54 Mn |
| Dec 25, 2021 | 108.77 Mn |
| Sep 25, 2021 | 116.85 Mn |
API Access
Valmont Industries Accumulated 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=accumulated-expenses&ticker=VMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();