Nov (NOV) Long-Term Debt Repayments (2009 - 2026)
Nov's Long-Term Debt Repayments came in at $8 million for Q2 2026, up 14.3% from $7 million a year earlier and unchanged 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 Jun 30, 2026, Nov reported Long-Term Debt Repayments of $30 million, up 30.4% year-over-year; for FY2025, it was $28 million, down 93.5% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -33.6% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $431 million in FY2024 (+124.5%), $192 million in FY2023 (+700.0%), $24 million in FY2022 (-86.9%) and $183 million in FY2021 (-15.7%).
- The five-year range for quarterly Long-Term Debt Repayments is $5 million (Q2 2023) to $250 million (Q1 2024).
- Year-over-year, Long-Term Debt Repayments increased in two of the last six quarters, with an average decline of 44.8%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2023 (growth of 800.0%), and the weakest in Q1 2025 (a decline of 97.2%).
- Business Quant data shows NOV's Long-Term Debt Repayments at $8 million (Q1 2026), $8 million (Q4 2025) and $6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | -3.00 Mn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | - |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | - |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | - |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 814.12 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 17.00 Mn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 30.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | - |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 9.00 Mn |
| 10 | Kodiak Gas Services | 4.68 Bn | 4.44 Bn | 246.76 Mn | 818.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 7.00 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();