Nabors Industries (NBR) Total Current Liabilities (2009 - 2026)
Nabors Industries (NBR) reported Total Current Liabilities of $679.99 million for Q3 2026, unchanged from $680.21 million a year earlier and up 7.3% from the prior quarter.
Nabors Industries (NBR) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Nabors Industries posted Total Current Liabilities of $993 million, up 73.6% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $571.92 million in FY2024 (-52.9%), $1.21 billion in FY2023 (+103.6%), $596.39 million in FY2022 (+13.5%) and $525.23 million in FY2021 (+1.9%).
- Five-year quarterly Total Current Liabilities spans a low of $513.45 million in Q1 2022 and a high of $1.21 billion in Q4 2023.
- Year over year, Total Current Liabilities gained in four of the last eight quarters, with growth averaging 5.8%.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2023 (growth of 103.6%); the low point was Q4 2024 (a decline of 52.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $633.64 million (Q2 2026), $585.22 million (Q1 2026) and $993 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 14.76 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 17.48 Bn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 6.01 Bn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 5.44 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 716.76 Mn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 2.32 Bn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 1.68 Bn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 1.30 Bn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 768.80 Mn |
| 10 | Nabors Industries | 1.11 Bn | -1.31 Bn | 339.76 Mn | 679.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 679.99 Mn |
| Jun 30, 2026 | 633.64 Mn |
| Mar 31, 2026 | 585.22 Mn |
| Dec 31, 2025 | 993.00 Mn |
| Sep 30, 2025 | 680.21 Mn |
| Jun 30, 2025 | 669.45 Mn |
| Mar 31, 2025 | 667.65 Mn |
| Dec 31, 2024 | 571.92 Mn |
| Sep 30, 2024 | 571.58 Mn |
| Jun 30, 2024 | 590.92 Mn |
| Mar 31, 2024 | 602.42 Mn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 528.70 Mn |
| Jun 30, 2023 | 544.27 Mn |
| Mar 31, 2023 | 540.48 Mn |
| Dec 31, 2022 | 596.39 Mn |
| Sep 30, 2022 | 559.17 Mn |
| Jun 30, 2022 | 524.06 Mn |
| Mar 31, 2022 | 513.45 Mn |
| Dec 31, 2021 | 525.23 Mn |
Nabors Industries Total 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-current-liabilities&ticker=NBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();