LyondellBasell Industries (LYB) Return on Sales [ROS] (2010 - 2026)
LyondellBasell Industries' Return on Sales [ROS] was 16.81% in Q2 2026, up 13.09 percentage points from 3.72% a year earlier and up 13.49 percentage points from the prior quarter.
LyondellBasell Industries (LYB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, LyondellBasell Industries' Return on Sales [ROS] was 3.09% through Jun 30, 2026, up 0.99 percentage points year-over-year; for FY2025, it came in at -1.39%, down 7.14 percentage points from FY2024.
- Return on Sales [ROS] has now declined for four consecutive years, with a five-year change of -7.01 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 5.74% in FY2024 (-2.43 pp), 8.17% in FY2023 (-1.94 pp), 10.11% in FY2022 (-4.56 pp) and 14.67% in FY2021 (+9.05 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2021.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of -2.36 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 17.36 percentage points); the worst was Q3 2025 (a drop of 19.51 percentage points).
- Per Business Quant data, LYB's Return on Sales [ROS] in the three quarters before Q2 2026 was 3.32% (Q1 2026), -1.24% (Q4 2025) and -9.46% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | International Flavors & Fragrances | 21.04 Bn | 18.74 Bn | 853.00 Mn | 8.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.81% |
| Mar 31, 2026 | 3.32% |
| Dec 31, 2025 | -1.24% |
| Sep 30, 2025 | -9.46% |
| Jun 30, 2025 | 3.72% |
| Mar 31, 2025 | 1.48% |
| Dec 31, 2024 | -7.65% |
| Sep 30, 2024 | 10.05% |
| Jun 30, 2024 | 11.51% |
| Mar 31, 2024 | 7.84% |
| Dec 31, 2023 | -0.60% |
| Sep 30, 2023 | 9.54% |
| Jun 30, 2023 | 9.81% |
| Mar 31, 2023 | 6.96% |
| Dec 31, 2022 | 4.77% |
| Sep 30, 2022 | 6.63% |
| Jun 30, 2022 | 14.43% |
| Mar 31, 2022 | 12.62% |
| Dec 31, 2021 | 7.10% |
| Sep 30, 2021 | 17.70% |
LyondellBasell 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=LYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LYB", "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=LYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();