Nabors Industries (NBR) Other Accumulated Expenses (2009 - 2026)
Nabors Industries (NBR) posted Other Accumulated Expenses of $48.93 million for Q2 2026, down 22.0% from $62.7 million a year earlier but up 31.7% from the prior quarter.
Nabors Industries (NBR) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Nabors Industries' Other Accumulated Expenses came in at $62.9 million, down 5.1% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, Nabors Industries' Other Accumulated Expenses was $66.3 million in FY2024 (+15.1%), $57.61 million in FY2023 (-16.7%), $69.17 million in FY2022 (-3.7%) and $71.81 million in FY2021 (+14.1%).
- Quarterly Other Accumulated Expenses has run from a low of $37.15 million in Q1 2026 to a high of $75.47 million in Q2 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last six quarters, with an average decline of 9.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2022, with growth of 78.4%; the weakest was Q1 2023, with a decline of 27.8%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $37.15 million (Q1 2026), $62.9 million (Q4 2025) and $38.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn |
| 10 | Nabors Industries | 1.27 Bn | -612.46 Mn | 309.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.93 Mn |
| Mar 31, 2026 | 37.15 Mn |
| Dec 31, 2025 | 62.90 Mn |
| Sep 30, 2025 | 38.07 Mn |
| Jun 30, 2025 | 62.70 Mn |
| Mar 31, 2025 | 42.75 Mn |
| Dec 31, 2024 | 66.30 Mn |
| Sep 30, 2024 | 46.03 Mn |
| Jun 30, 2024 | 75.47 Mn |
| Mar 31, 2024 | 57.17 Mn |
| Dec 31, 2023 | 57.61 Mn |
| Sep 30, 2023 | 41.89 Mn |
| Jun 30, 2023 | 53.63 Mn |
| Mar 31, 2023 | 40.29 Mn |
| Dec 31, 2022 | 69.17 Mn |
| Sep 30, 2022 | 55.72 Mn |
| Jun 30, 2022 | 70.33 Mn |
| Mar 31, 2022 | 55.78 Mn |
| Dec 31, 2021 | 71.81 Mn |
| Sep 30, 2021 | 40.34 Mn |
Nabors Industries Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();