Nabors Industries (NBR) Return on Sales [ROS] (2009 - 2026)
Nabors Industries (NBR) posted Return on Sales [ROS] of 7.05% for Q2 2026, down 2.13 percentage points from 9.17% a year earlier and down 1.21 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 3.89%, down 4.99 percentage points year-over-year; for FY2025, it was 23.44%, up 17.38 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +46.82 percentage points (FY2020 to FY2025).
- In prior years, Nabors Industries' Return on Sales [ROS] was 6.06% in FY2024 (-4.25 pp), 10.31% in FY2023 (+12.85 pp), -2.54% in FY2022 (+13.14 pp) and -15.68% in FY2021 (+7.70 pp).
- Quarterly Return on Sales [ROS] has run from a low of -20.06% in Q1 2022 to a high of 17.03% in Q1 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -1.51 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 68.77 percentage points; the weakest was Q3 2025, with a drop of 13.05 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 8.25% (Q1 2026), 9.32% (Q4 2025) and -8.70% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 12.05% |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 13.05% |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 10.94% |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 18.23% |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 8.24% |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 6.38% |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 13.39% |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 15.26% |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 13.70% |
| 10 | Nabors Industries | 1.11 Bn | -1.31 Bn | 339.76 Mn | 8.96% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.96% |
| Jun 30, 2026 | 7.05% |
| Mar 31, 2026 | 8.25% |
| Dec 31, 2025 | 9.32% |
| Sep 30, 2025 | -8.70% |
| Jun 30, 2025 | 9.17% |
| Mar 31, 2025 | 17.03% |
| Dec 31, 2024 | 4.87% |
| Sep 30, 2024 | 4.36% |
| Jun 30, 2024 | 7.27% |
| Mar 31, 2024 | 7.72% |
| Dec 31, 2023 | 9.90% |
| Sep 30, 2023 | 3.13% |
| Jun 30, 2023 | 11.41% |
| Mar 31, 2023 | 16.38% |
| Dec 31, 2022 | 1.59% |
| Sep 30, 2022 | 7.40% |
| Jun 30, 2022 | -2.80% |
| Mar 31, 2022 | -20.06% |
| Dec 31, 2021 | -8.52% |
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();