Valmont Industries (VMI) Other Non-Current Liabilities (2009 - 2026)
Valmont Industries' Other Non-Current Liabilities came in at $52.98 million for Q2 2026, up 52.6% from $34.72 million a year earlier and up 32.4% from the prior quarter.
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Analysis
Valmont Industries (VMI) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Valmont Industries' Other Non-Current Liabilities was $35.32 million, up 29.0% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $27.38 million in FY2024 (-16.1%), $32.62 million in FY2023 (+7.6%), $30.32 million in FY2022 (-66.2%) and $89.74 million in FY2021 (+53.0%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Liabilities since Q1 2022.
- Year-over-year, Other Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q3 2021 (growth of 84.9%), and the weakest in Q4 2022 (a decline of 66.2%).
- Business Quant data shows VMI's Other Non-Current Liabilities at $40 million (Q1 2026), $35.32 million (Q4 2025) and $34.84 million (Q3 2025) in the three quarters before Q2 2026.
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 | 52.98 Mn |
| Mar 28, 2026 | 40.00 Mn |
| Dec 27, 2025 | 35.32 Mn |
| Sep 27, 2025 | 34.84 Mn |
| Jun 28, 2025 | 34.72 Mn |
| Mar 29, 2025 | 32.30 Mn |
| Dec 28, 2024 | 27.38 Mn |
| Sep 28, 2024 | 50.01 Mn |
| Jun 29, 2024 | 32.55 Mn |
| Mar 30, 2024 | 33.15 Mn |
| Dec 30, 2023 | 32.62 Mn |
| Sep 30, 2023 | 30.80 Mn |
| Jul 1, 2023 | 34.94 Mn |
| Apr 1, 2023 | 33.89 Mn |
| Dec 31, 2022 | 30.32 Mn |
| Sep 24, 2022 | 28.75 Mn |
| Jun 25, 2022 | 50.98 Mn |
| Mar 26, 2022 | 61.67 Mn |
| Dec 25, 2021 | 89.74 Mn |
| Sep 25, 2021 | 84.27 Mn |
API Access
Valmont Industries Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=VMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();