Valmont Industries (VMI) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Valmont Industries' Non-Current Debt was $756.14 million in Q3 2026, up 3.6% from $730.09 million a year earlier and up 3.5% from the prior quarter.
Valmont Industries (VMI) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Valmont Industries came in at $795.15 million, up 8.9% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $729.94 million in FY2024 (-34.1%), $1.11 billion in FY2023 (+27.2%), $870.94 million in FY2022 (-8.0%) and $947.07 million in FY2021 (+30.0%).
- Quarterly Non-Current Debt has moved between $729.94 million (Q4 2024) and $1.11 billion (Q4 2023) over five years.
- Compared with a year earlier, Non-Current Debt has increased for four straight quarters, with an average decline of 11.8% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q1 2022 (growth of 32.0%); the worst was Q4 2024 (a decline of 34.1%).
- Per Business Quant data, VMI's Non-Current Debt in the three quarters before Q3 2026 was $730.63 million (Q2 2026), $790.29 million (Q1 2026) and $795.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 328.06 Bn | 299.76 Bn | 7.76 Bn | 1.91 Bn |
| 2 | Amphenol | 193.01 Bn | 187.71 Bn | 3.55 Bn | -1.19 Bn |
| 3 | Deere | 172.35 Bn | 181.12 Bn | 4.66 Bn | -481.00 Mn |
| 4 | Eaton | 149.23 Bn | 146.46 Bn | 2.86 Bn | -74.00 Mn |
| 5 | Parker-Hannifin | 113.53 Bn | 111.66 Bn | 2.25 Bn | 1.00 Mn |
| 6 | Emerson Electric | 92.73 Bn | 85.49 Bn | 2.66 Bn | -1.42 Bn |
| 7 | 3M | 88.68 Bn | 71.10 Bn | 2.78 Bn | 2.53 Bn |
| 8 | Vertiv Holdings | 80.37 Bn | 70.99 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 78.58 Bn | 78.59 Bn | - | - |
| 10 | Valmont Industries | 8.36 Bn | 7.77 Bn | 331.38 Mn | 25.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 25.42 Mn |
| Jun 27, 2026 | -59.79 Mn |
| Mar 28, 2026 | -5.56 Mn |
| Dec 27, 2025 | 64.75 Mn |
| Sep 27, 2025 | -173,000.00 |
| Jun 28, 2025 | -184,000.00 |
| Mar 29, 2025 | -174,000.00 |
| Dec 28, 2024 | -167.56 Mn |
| Sep 28, 2024 | -120.17 Mn |
| Jun 29, 2024 | -90.18 Mn |
| Mar 30, 2024 | -165,000.00 |
| Dec 30, 2023 | 129.59 Mn |
| Sep 30, 2023 | 24.77 Mn |
| Jul 1, 2023 | -33.30 Mn |
| Apr 1, 2023 | 114.20 Mn |
| Dec 31, 2022 | -66.72 Mn |
| Sep 24, 2022 | -60.17 Mn |
| Jun 25, 2022 | 30.02 Mn |
| Mar 26, 2022 | 14.47 Mn |
| Dec 25, 2021 | 50.59 Mn |
Valmont Industries Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=VMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();