Nabors Industries (NBR) Selling, General & Administrative (2009 - 2026)
Nabors Industries (NBR) recorded Selling, General & Administrative of $71.38 million in Q2 2026, down 13.7% from $82.73 million a year earlier and down 0.5% from the prior quarter.
Nabors Industries (NBR) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Nabors Industries' Selling, General & Administrative came in at $296.49 million as of Jun 30, 2026, up 7.2% year-over-year; for FY2025, it was $304.59 million, up 22.2% from FY2024.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $249.32 million in FY2024 (+2.1%), $244.15 million in FY2023 (+6.9%), $228.43 million in FY2022 (+7.0%) and $213.56 million in FY2021 (+4.9%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q1 2025.
- On a year-over-year basis, Selling, General & Administrative rose in seven of the last eight quarters, with growth averaging 11.3%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 33.1% in Q2 2025, against a decline of 13.7% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $71.76 million (Q1 2026), $76.28 million (Q4 2025) and $77.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 84.00 Mn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 569.00 Mn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | 169.30 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 75.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 328.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 26.94 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 56.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 172.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 40.92 Mn |
| 10 | Nabors Industries | 1.27 Bn | -612.46 Mn | 309.38 Mn | 71.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.38 Mn |
| Mar 31, 2026 | 71.76 Mn |
| Dec 31, 2025 | 76.28 Mn |
| Sep 30, 2025 | 77.08 Mn |
| Jun 30, 2025 | 82.73 Mn |
| Mar 31, 2025 | 68.51 Mn |
| Dec 31, 2024 | 61.44 Mn |
| Sep 30, 2024 | 63.98 Mn |
| Jun 30, 2024 | 62.15 Mn |
| Mar 31, 2024 | 61.75 Mn |
| Dec 31, 2023 | 57.00 Mn |
| Sep 30, 2023 | 62.18 Mn |
| Jun 30, 2023 | 63.23 Mn |
| Mar 31, 2023 | 61.73 Mn |
| Dec 31, 2022 | 59.03 Mn |
| Sep 30, 2022 | 57.59 Mn |
| Jun 30, 2022 | 58.17 Mn |
| Mar 31, 2022 | 53.64 Mn |
| Dec 31, 2021 | 54.42 Mn |
| Sep 30, 2021 | 52.90 Mn |
Nabors Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=NBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();