Nov (NOV) Total Non-Current Liabilities (2009 - 2026)
Nov (NOV) reported Total Non-Current Liabilities of $4.69 billion for Q2 2026, up 3.2% from $4.54 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Nov (NOV) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nov posted Total Non-Current Liabilities of $4.71 billion, up 1.2% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.65 billion in FY2024 (-2.6%), $4.78 billion in FY2023 (+0.1%), $4.77 billion in FY2022 (+12.0%) and $4.26 billion in FY2021 (-3.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $4.23 billion in Q3 2021 and a high of $4.78 billion in Q4 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 0.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 12.0%); the low point was Q1 2025 (a decline of 4.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.61 billion (Q1 2026), $4.71 billion (Q4 2025) and $4.56 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 26.35 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 31.14 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 6.73 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 14.12 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 4.69 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 2.51 Bn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 5.59 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 3.10 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 1.89 Bn |
| 10 | Kodiak Gas Services | 5.35 Bn | 5.11 Bn | 246.76 Mn | 3.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.69 Bn |
| Mar 31, 2026 | 4.61 Bn |
| Dec 31, 2025 | 4.71 Bn |
| Sep 30, 2025 | 4.56 Bn |
| Jun 30, 2025 | 4.54 Bn |
| Mar 31, 2025 | 4.48 Bn |
| Dec 31, 2024 | 4.65 Bn |
| Sep 30, 2024 | 4.62 Bn |
| Jun 30, 2024 | 4.58 Bn |
| Mar 31, 2024 | 4.69 Bn |
| Dec 31, 2023 | 4.78 Bn |
| Sep 30, 2023 | 4.71 Bn |
| Jun 30, 2023 | 4.74 Bn |
| Mar 31, 2023 | 4.65 Bn |
| Dec 31, 2022 | 4.77 Bn |
| Sep 30, 2022 | 4.56 Bn |
| Jun 30, 2022 | 4.50 Bn |
| Mar 31, 2022 | 4.32 Bn |
| Dec 31, 2021 | 4.26 Bn |
| Sep 30, 2021 | 4.23 Bn |
API Access
Nov Total 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=total-non-current-liabilities&ticker=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();