Valmont Industries (VMI) Goodwill & Intangibles (2009 - 2026)
Valmont Industries (VMI) posted Goodwill & Intangibles of $700.9 million for Q2 2026, up 0.4% from $698.33 million a year earlier but down 0.8% from the prior quarter.
Valmont Industries (VMI) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Valmont Industries' Goodwill & Intangibles came in at $692.3 million, down 8.7% from FY2024.
- Annual Goodwill & Intangibles has declined for three consecutive years, though with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Valmont Industries' Goodwill & Intangibles was $757.93 million in FY2024 (-3.3%), $783.65 million in FY2023 (-14.5%), $916.48 million in FY2022 (+3.7%) and $883.93 million in FY2021 (+47.9%).
- Quarterly Goodwill & Intangibles has run from a low of $141.88 million in Q3 2024 to a high of $934.08 million in Q2 2022 over five years.
- On a year-over-year basis, Goodwill & Intangibles increased in two of the last eight quarters, with growth averaging 34.6%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q3 2025, with growth of 388.7%; the weakest was Q3 2024, with a decline of 81.7%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $706.49 million (Q1 2026), $692.3 million (Q4 2025) and $693.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Valmont Industries | 9.25 Bn | 8.55 Bn | 340.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 700.90 Mn |
| Mar 28, 2026 | 706.49 Mn |
| Dec 27, 2025 | 692.30 Mn |
| Sep 27, 2025 | 693.38 Mn |
| Jun 28, 2025 | 698.33 Mn |
| Mar 29, 2025 | 760.81 Mn |
| Dec 28, 2024 | 757.93 Mn |
| Sep 28, 2024 | 141.88 Mn |
| Jun 29, 2024 | 772.76 Mn |
| Mar 30, 2024 | 775.73 Mn |
| Dec 30, 2023 | 783.65 Mn |
| Sep 30, 2023 | 775.27 Mn |
| Jul 1, 2023 | 910.00 Mn |
| Apr 1, 2023 | 914.04 Mn |
| Dec 31, 2022 | 916.48 Mn |
| Sep 24, 2022 | 911.38 Mn |
| Jun 25, 2022 | 934.08 Mn |
| Mar 26, 2022 | 877.12 Mn |
| Dec 25, 2021 | 883.93 Mn |
| Sep 25, 2021 | 902.91 Mn |
Valmont Industries Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=VMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();