Valmont Industries (VMI) Long-Term Debt Repayments (2009 - 2026)
Valmont Industries' Long-Term Debt Repayments came in at $75 million for Q2 2026, up 6.9% from $70.18 million a year earlier and up 35.0% from the prior quarter.
Valmont Industries (VMI) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Valmont Industries reported Long-Term Debt Repayments of $151.76 million, down 65.0% year-over-year; for FY2025, it was $151.56 million, down 62.9% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $408.08 million in FY2024 (+202.8%), $134.75 million in FY2023 (-59.9%), $336.4 million in FY2022 (+268.4%) and $91.31 million in FY2021 (-24.9%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q4 2024.
- Year-over-year, Long-Term Debt Repayments increased in three of the last seven quarters, with growth averaging 110.5%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q4 2024 (growth of 559.3%), and the weakest in Q3 2025 (a decline of 99.9%).
- Business Quant data shows VMI's Long-Term Debt Repayments at $55.56 million (Q1 2026), $21.03 million (Q4 2025) and $173,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 286.42 Bn | 286.42 Bn | - | - |
| 2 | Amphenol | 195.24 Bn | 188.76 Bn | 4.02 Bn | - |
| 3 | Deere | 181.59 Bn | 149.68 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 142.97 Bn | 140.16 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 113.12 Bn | 111.24 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.88 Bn | 84.61 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 90.04 Bn | 71.48 Bn | 2.78 Bn | 650.00 Mn |
| 8 | Vertiv Holdings | 89.00 Bn | 77.85 Bn | 1.64 Bn | 15.30 Mn |
| 9 | Illinois Tool Works | 79.39 Bn | 76.06 Bn | 1.91 Bn | - |
| 10 | Valmont Industries | 8.10 Bn | 7.49 Bn | 331.38 Mn | 30.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 30.03 Mn |
| Jun 27, 2026 | 75.00 Mn |
| Mar 28, 2026 | 55.56 Mn |
| Dec 27, 2025 | 21.03 Mn |
| Sep 27, 2025 | 173,000.00 |
| Jun 28, 2025 | 70.18 Mn |
| Mar 29, 2025 | 60.17 Mn |
| Dec 28, 2024 | 167.56 Mn |
| Sep 28, 2024 | 135.17 Mn |
| Jun 29, 2024 | 105.17 Mn |
| Mar 30, 2024 | 175,000.00 |
| Dec 30, 2023 | 25.41 Mn |
| Sep 30, 2023 | 25.23 Mn |
| Jul 1, 2023 | 73.31 Mn |
| Apr 1, 2023 | 10.80 Mn |
| Dec 31, 2022 | 85.25 Mn |
| Sep 24, 2022 | 94.18 Mn |
| Jun 25, 2022 | 74.44 Mn |
| Mar 26, 2022 | 82.53 Mn |
| Dec 25, 2021 | 25.19 Mn |
Valmont Industries Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=VMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();