Nov (NOV) Long-Term Debt Repayments (2009 - 2026)
Nov's Long-Term Debt Repayments came in at $7 million for Q3 2026, down 30.0% from $10 million a year earlier and down 58.8% from the prior quarter.
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Analysis
Nov (NOV) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Nov reported Long-Term Debt Repayments of $53 million, down 3.6% year-over-year; for FY2025, it was $54 million, down 88.2% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $459 million in FY2024 (+113.5%), $215 million in FY2023 (+667.9%), $28 million in FY2022 (-86.6%) and $209 million in FY2021 (-15.7%).
- The Q3 2026 figure represents the lowest quarterly Long-Term Debt Repayments since Q3 2024.
- Year-over-year, Long-Term Debt Repayments increased in three of the last eight quarters, with an average decline of 28.3%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2025 (growth of 66.7%), and the weakest in Q2 2022 (a decline of 96.8%).
- Business Quant data shows NOV's Long-Term Debt Repayments at $17 million (Q2 2026), $12 million (Q1 2026) and $17 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | -14.00 Mn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | - |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | - |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | -800,000.00 |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 1.10 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 7.00 Mn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 8.00 Mn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 132.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | - |
| 10 | Kodiak Gas Services | 4.28 Bn | 3.96 Bn | 259.04 Mn | 190.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.00 Mn |
| Jun 30, 2026 | 17.00 Mn |
| Mar 31, 2026 | 12.00 Mn |
| Dec 31, 2025 | 17.00 Mn |
| Sep 30, 2025 | 10.00 Mn |
| Jun 30, 2025 | 16.00 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 18.00 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | 179.00 Mn |
| Mar 31, 2024 | 256.00 Mn |
| Dec 31, 2023 | 133.00 Mn |
| Sep 30, 2023 | 66.00 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 6.00 Mn |
| Dec 31, 2022 | 10.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 6.00 Mn |
API Access
Nov 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=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "NOV", "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=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();