Slb (SLB) Return on Sales [ROS] (2009 - 2026)
Slb's Return on Sales [ROS] came in at 12.05% for Q3 2026, down 1.08 percentage points from 13.14% a year earlier but up 0.12 percentage points from the prior quarter.
Slb (SLB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Slb reported Return on Sales [ROS] of 12.58%, down 2.14 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 ten consecutive quarters, with an average year-over-year change of -22.03 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 11.94% (Q2 2026), 11.80% (Q1 2026) and 14.40% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 12.05% |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 18.69% |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 10.94% |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 18.18% |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 8.24% |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 6.38% |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 13.39% |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 15.26% |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 13.70% |
| 10 | Kodiak Gas Services | 4.28 Bn | 3.96 Bn | 259.04 Mn | 34.47% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.05% |
| 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 | -30.92% |
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();