Celanese (CE) Return on Sales [ROS] (2009 - 2026)
Celanese's Return on Sales [ROS] was 10.03% in Q2 2026, up 0.91 percentage points from 9.12% a year earlier and up 0.87 percentage points from the prior quarter.
Celanese (CE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Celanese's Return on Sales [ROS] was -7.13% through Jun 30, 2026, up 0.71 percentage points year-over-year; for FY2025, it was -8.24%, down 1.22 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -19.98 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -7.01% in FY2024 (-22.25 pp), 15.24% in FY2023 (+0.99 pp), 14.25% in FY2022 (-8.55 pp) and 22.79% in FY2021 (+11.05 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2023.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of -10.87 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 64.40 percentage points); the worst was Q4 2024 (a drop of 69.45 percentage points).
- Per Business Quant data, CE's Return on Sales [ROS] in the three quarters before Q2 2026 was 9.16% (Q1 2026), 4.22% (Q4 2025) and -52.71% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 14.73% |
| 10 | Celanese | 4.85 Bn | -553.10 Mn | 618.00 Mn | 10.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.03% |
| Mar 31, 2026 | 9.16% |
| Dec 31, 2025 | 4.22% |
| Sep 30, 2025 | -52.71% |
| Jun 30, 2025 | 9.12% |
| Mar 31, 2025 | 6.91% |
| Dec 31, 2024 | -60.18% |
| Sep 30, 2024 | 9.25% |
| Jun 30, 2024 | 9.43% |
| Mar 31, 2024 | 8.04% |
| Dec 31, 2023 | 9.28% |
| Sep 30, 2023 | 30.92% |
| Jun 30, 2023 | 11.99% |
| Mar 31, 2023 | 8.80% |
| Dec 31, 2022 | 2.39% |
| Sep 30, 2022 | 13.39% |
| Jun 30, 2022 | 19.43% |
| Mar 31, 2022 | 20.92% |
| Dec 31, 2021 | 22.73% |
| Sep 30, 2021 | 23.65% |
Celanese 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=CE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CE", "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=CE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();