Nabors Industries (NBR) Operating Expenses (2009 - 2026)
Nabors Industries (NBR) reported Operating Expenses of $802.04 million for Q2 2026, down 2.0% from $818.05 million a year earlier but up 4.8% from the prior quarter.
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Analysis
Nabors Industries (NBR) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nabors Industries' Operating Expenses came in at $2.75 billion, down 8.6% year-over-year; for FY2025, it came in at $2.67 billion, down 10.8% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $3 billion in FY2024 (+2.7%), $2.92 billion in FY2023 (+0.2%), $2.91 billion in FY2022 (+16.2%) and $2.51 billion in FY2021 (-11.8%).
- Five-year quarterly Operating Expenses spans a low of $405.48 million in Q3 2025 and a high of $818.05 million in Q2 2025.
- Year over year, Operating Expenses gained in five of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 26.3%); the low point was Q3 2025 (a decline of 47.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $765.29 million (Q1 2026), $780.7 million (Q4 2025) and $405.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.52 Bn | 70.45 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 55.17 Bn | 18.27 Bn | 1.58 Bn | 723.00 Mn |
| 3 | Halliburton | 28.16 Bn | 19.87 Bn | 804.00 Mn | 4.94 Bn |
| 4 | TechnipFMC | 27.25 Bn | 23.39 Bn | 684.70 Mn | 2.28 Bn |
| 5 | Noble | 6.82 Bn | 4.75 Bn | 239.27 Mn | 689.21 Mn |
| 6 | Nov | 6.80 Bn | 1.54 Bn | 521.00 Mn | 1.04 Bn |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Valaris | 6.12 Bn | 3.74 Bn | 123.70 Mn | 498.70 Mn |
| 9 | Weatherford International | 5.69 Bn | 1.62 Bn | 333.00 Mn | 998.00 Mn |
| 10 | Nabors Industries | 1.14 Bn | -1.24 Bn | 309.38 Mn | 802.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 802.04 Mn |
| Mar 31, 2026 | 765.29 Mn |
| Dec 31, 2025 | 780.70 Mn |
| Sep 30, 2025 | 405.48 Mn |
| Jun 30, 2025 | 818.05 Mn |
| Mar 31, 2025 | 670.60 Mn |
| Dec 31, 2024 | 756.29 Mn |
| Sep 30, 2024 | 766.28 Mn |
| Jun 30, 2024 | 740.45 Mn |
| Mar 31, 2024 | 736.86 Mn |
| Dec 31, 2023 | 714.74 Mn |
| Sep 30, 2023 | 764.87 Mn |
| Jun 30, 2023 | 736.13 Mn |
| Mar 31, 2023 | 704.93 Mn |
| Dec 31, 2022 | 801.34 Mn |
| Sep 30, 2022 | 691.06 Mn |
| Jun 30, 2022 | 692.35 Mn |
| Mar 31, 2022 | 729.70 Mn |
| Dec 31, 2021 | 634.58 Mn |
| Sep 30, 2021 | 637.28 Mn |
API Access
Nabors Industries Operating 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=operating-expenses&ticker=NBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();