Sensient Technologies (SXT) Return on Capital Employed [ROCE] (2010 - 2026)
Sensient Technologies (SXT) posted Return on Capital Employed [ROCE] of 11.62% for Q2 2026, up 0.88 percentage points from 10.74% a year earlier and up 0.83 percentage points from the prior quarter.
Sensient Technologies (SXT) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Sensient Technologies' Return on Capital Employed [ROCE] came in at 11.07%, up 0.12 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +1.06 percentage points (FY2020 to FY2025).
- In prior years, Sensient Technologies' Return on Capital Employed [ROCE] was 10.96% in FY2024 (+2.16 pp), 8.80% in FY2023 (-3.56 pp), 12.36% in FY2022 (+1.11 pp) and 11.25% in FY2021 (+1.24 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q4 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in six of the last eight quarters, with an average year-over-year change of +0.92 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2021, with a gain of 4.07 percentage points; the weakest was Q4 2023, with a drop of 3.28 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 10.79% (Q1 2026), 10.55% (Q4 2025) and 10.69% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | - |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 13.38% |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 3.64% |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 0.24% |
| 10 | Sensient Technologies | 5.57 Bn | 5.42 Bn | 172.80 Mn | 11.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.62% |
| Mar 31, 2026 | 10.79% |
| Dec 31, 2025 | 10.55% |
| Sep 30, 2025 | 10.69% |
| Jun 30, 2025 | 10.74% |
| Mar 31, 2025 | 10.71% |
| Dec 31, 2024 | 10.87% |
| Sep 30, 2024 | 8.95% |
| Jun 30, 2024 | 8.55% |
| Mar 31, 2024 | 8.57% |
| Dec 31, 2023 | 8.73% |
| Sep 30, 2023 | 10.43% |
| Jun 30, 2023 | 10.55% |
| Mar 31, 2023 | 11.02% |
| Dec 31, 2022 | 12.01% |
| Sep 30, 2022 | 12.51% |
| Jun 30, 2022 | 12.76% |
| Mar 31, 2022 | 11.33% |
| Dec 31, 2021 | 11.30% |
| Sep 30, 2021 | 11.04% |
Sensient Technologies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SXT", "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-capital-employed-%5Broce%5D&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();