Nabors Industries (NBR) Total Liabilities (2009 - 2026)
Nabors Industries (NBR) posted Total Liabilities of $2.95 billion for Q3 2026, down 24.3% from $3.89 billion a year earlier and down 15.1% from the prior quarter.
Nabors Industries (NBR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nabors Industries' Total Liabilities came in at $3.83 billion, down 6.1% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, Nabors Industries' Total Liabilities was $4.08 billion in FY2024 (-13.8%), $4.74 billion in FY2023 (+12.9%), $4.19 billion in FY2022 (-12.8%) and $4.81 billion in FY2021 (+13.2%).
- The Q3 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 9.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 13.2%; the weakest was Q3 2026, with a decline of 24.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $3.47 billion (Q2 2026), $3.43 billion (Q1 2026) and $3.83 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 28.99 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 38.50 Bn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 14.91 Bn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 7.10 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 2.87 Bn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 4.92 Bn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 3.34 Bn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 6.61 Bn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 2.21 Bn |
| 10 | Nabors Industries | 1.11 Bn | -1.31 Bn | 339.76 Mn | 3.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.45 Bn |
| Jun 30, 2026 | 3.47 Bn |
| Mar 31, 2026 | 3.43 Bn |
| Dec 31, 2025 | 3.83 Bn |
| Sep 30, 2025 | 3.89 Bn |
| Jun 30, 2025 | 4.40 Bn |
| Mar 31, 2025 | 4.39 Bn |
| Dec 31, 2024 | 4.08 Bn |
| Sep 30, 2024 | 4.09 Bn |
| Jun 30, 2024 | 4.11 Bn |
| Mar 31, 2024 | 4.12 Bn |
| Dec 31, 2023 | 4.74 Bn |
| Sep 30, 2023 | 4.18 Bn |
| Jun 30, 2023 | 3.87 Bn |
| Mar 31, 2023 | 4.70 Bn |
| Dec 31, 2022 | 4.19 Bn |
| Sep 30, 2022 | 4.17 Bn |
| Jun 30, 2022 | 4.20 Bn |
| Mar 31, 2022 | 4.19 Bn |
| Dec 31, 2021 | 4.81 Bn |
Nabors Industries 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=NBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NBR", "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=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();