Nabors Industries (NBR) Return on Sales [ROS] (2009 - 2026)
Nabors Industries (NBR) posted Return on Sales [ROS] of -60.31% for Q2 2026, down 4.52 percentage points from -55.79% a year earlier and down 0.25 percentage points from the prior quarter.
Nabors Industries (NBR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Nabors Industries was -46.34%, up 10.74 percentage points year-over-year; for FY2025, it was -42.86%, up 16.87 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +52.60 percentage points (FY2020 to FY2025).
- In prior years, Nabors Industries' Return on Sales [ROS] was -59.74% in FY2024 (-5.26 pp), -54.47% in FY2023 (+17.16 pp), -71.63% in FY2022 (+16.28 pp) and -87.91% in FY2021 (+7.56 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +5.96 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2025, with a gain of 52.47 percentage points; the weakest was Q3 2021, with a drop of 70.90 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -60.06% (Q1 2026), -57.37% (Q4 2025) and -8.70% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | 12.74% |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | -57.68% |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | 13.62% |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | 9.04% |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | 4.23% |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | 15.73% |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | 9.68% |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | 31.76% |
| 10 | Nabors Industries | 1.27 Bn | -612.46 Mn | 309.38 Mn | -60.31% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -60.31% |
| Mar 31, 2026 | -60.06% |
| Dec 31, 2025 | -57.37% |
| Sep 30, 2025 | -8.70% |
| Jun 30, 2025 | -55.79% |
| Mar 31, 2025 | -50.50% |
| Dec 31, 2024 | -61.06% |
| Sep 30, 2024 | -61.17% |
| Jun 30, 2024 | -58.91% |
| Mar 31, 2024 | -57.81% |
| Dec 31, 2023 | -54.44% |
| Sep 30, 2023 | -62.96% |
| Jun 30, 2023 | -53.01% |
| Mar 31, 2023 | -47.94% |
| Dec 31, 2022 | -63.58% |
| Sep 30, 2022 | -60.72% |
| Jun 30, 2022 | -73.51% |
| Mar 31, 2022 | -93.85% |
| Dec 31, 2021 | -80.58% |
| Sep 30, 2021 | -85.71% |
Nabors Industries Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();