Slb (SLB) Return on Sales [ROS] (2009 - 2026)
Slb's Return on Sales [ROS] came in at 11.94% for Q2 2026, down 2.22 percentage points from 14.16% a year earlier but up 0.14 percentage points from the prior quarter.
Slb (SLB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Slb reported Return on Sales [ROS] of 12.86%, down 2.92 percentage points year-over-year; for FY2025, it was 14.01%, down 2.77 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +6.99 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 16.78% in FY2024 (+0.35 pp), 16.43% in FY2023 (+1.65 pp), 14.78% in FY2022 (+2.72 pp) and 12.06% in FY2021 (+5.04 pp).
- The five-year range for quarterly Return on Sales [ROS] is 11.80% (Q1 2026) to 96.73% (Q4 2023).
- Year-over-year, Return on Sales [ROS] has declined for nine consecutive quarters, with an average year-over-year change of -21.92 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 80.90 percentage points), and the weakest in Q1 2025 (a drop of 82.33 percentage points).
- Business Quant data shows SLB's Return on Sales [ROS] at 11.80% (Q1 2026), 14.40% (Q4 2025) and 13.14% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 78.74 Bn | 74.67 Bn | 1.40 Bn | 11.94% |
| 2 | Baker Hughes | 55.26 Bn | 18.37 Bn | 1.58 Bn | 12.74% |
| 3 | Halliburton | 29.17 Bn | 20.89 Bn | 804.00 Mn | 13.62% |
| 4 | TechnipFMC | 27.71 Bn | 23.85 Bn | 684.70 Mn | -57.68% |
| 5 | Noble | 7.59 Bn | 5.52 Bn | 239.27 Mn | 4.23% |
| 6 | Transocean | 7.21 Bn | 4.92 Bn | 358.00 Mn | 15.73% |
| 7 | Nov | 7.12 Bn | 1.85 Bn | 521.00 Mn | 9.04% |
| 8 | Valaris | 6.77 Bn | 4.39 Bn | 123.70 Mn | 9.48% |
| 9 | Weatherford International | 6.19 Bn | 1.93 Bn | 374.00 Mn | 13.39% |
| 10 | Patterson Uti Energy | 4.54 Bn | 3.39 Bn | 280.64 Mn | -0.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.94% |
| Mar 31, 2026 | 11.80% |
| Dec 31, 2025 | 14.40% |
| Sep 30, 2025 | 13.14% |
| Jun 30, 2025 | 14.16% |
| Mar 31, 2025 | 13.90% |
| Dec 31, 2024 | 17.54% |
| Sep 30, 2024 | 17.25% |
| Jun 30, 2024 | 16.24% |
| Mar 31, 2024 | 96.23% |
| Dec 31, 2023 | 96.73% |
| Sep 30, 2023 | 17.46% |
| Jun 30, 2023 | 16.52% |
| Mar 31, 2023 | 15.33% |
| Dec 31, 2022 | 16.43% |
| Sep 30, 2022 | 15.80% |
| Jun 30, 2022 | 14.25% |
| Mar 31, 2022 | 11.93% |
| Dec 31, 2021 | 13.43% |
| Sep 30, 2021 | 13.08% |
Slb 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=SLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SLB", "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=SLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();