Nov (NOV) Total Liabilities (2009 - 2026)
Nov (NOV) posted Total Liabilities of $4.94 billion for Q2 2026, up 2.8% from $4.81 billion a year earlier and up 1.3% from the prior quarter.
Powered by 
Analysis
Nov (NOV) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nov's Total Liabilities came in at $4.97 billion, up 0.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In prior years, Nov's Total Liabilities was $4.93 billion in FY2024 (-2.4%), $5.05 billion in FY2023 (+1.0%), $5 billion in FY2022 (+11.5%) and $4.49 billion in FY2021 (-3.5%).
- Quarterly Total Liabilities has run from a low of $4.49 billion in Q4 2021 to a high of $5.05 billion in Q4 2023 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with an average decline of 0.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 11.5%; the weakest was Q1 2025, with a decline of 4.1%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $4.88 billion (Q1 2026), $4.97 billion (Q4 2025) and $4.83 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.22 Bn | 70.15 Bn | 1.40 Bn | 28.28 Bn |
| 2 | Baker Hughes | 55.13 Bn | 18.23 Bn | 1.58 Bn | 32.54 Bn |
| 3 | Halliburton | 28.13 Bn | 19.85 Bn | 804.00 Mn | 14.78 Bn |
| 4 | TechnipFMC | 27.34 Bn | 23.48 Bn | 684.70 Mn | 7.09 Bn |
| 5 | Noble | 6.85 Bn | 4.79 Bn | 239.27 Mn | 2.76 Bn |
| 6 | Nov | 6.80 Bn | 1.53 Bn | 521.00 Mn | 4.94 Bn |
| 7 | Transocean | 6.49 Bn | 4.19 Bn | 358.00 Mn | 6.80 Bn |
| 8 | Valaris | 6.10 Bn | 3.72 Bn | 123.70 Mn | 2.23 Bn |
| 9 | Weatherford International | 5.68 Bn | 1.61 Bn | 333.00 Mn | 3.31 Bn |
| 10 | Kodiak Gas Services | 4.55 Bn | 4.31 Bn | 246.76 Mn | 3.34 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.94 Bn |
| Mar 31, 2026 | 4.88 Bn |
| Dec 31, 2025 | 4.97 Bn |
| Sep 30, 2025 | 4.83 Bn |
| Jun 30, 2025 | 4.81 Bn |
| Mar 31, 2025 | 4.78 Bn |
| Dec 31, 2024 | 4.93 Bn |
| Sep 30, 2024 | 4.91 Bn |
| Jun 30, 2024 | 4.87 Bn |
| Mar 31, 2024 | 4.98 Bn |
| Dec 31, 2023 | 5.05 Bn |
| Sep 30, 2023 | 4.93 Bn |
| Jun 30, 2023 | 4.95 Bn |
| Mar 31, 2023 | 4.87 Bn |
| Dec 31, 2022 | 5.00 Bn |
| Sep 30, 2022 | 4.83 Bn |
| Jun 30, 2022 | 4.73 Bn |
| Mar 31, 2022 | 4.54 Bn |
| Dec 31, 2021 | 4.49 Bn |
| Sep 30, 2021 | 4.49 Bn |
API Access
Nov Total 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-liabilities&ticker=NOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();