Sensient Technologies (SXT) Return on Sales [ROS] (2009 - 2026)
Sensient Technologies' Return on Sales [ROS] came in at 16.60% for Q2 2026, up 2.67 percentage points from 13.93% a year earlier and up 1.29 percentage points from the prior quarter.
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Analysis
Sensient Technologies (SXT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sensient Technologies reported Return on Sales [ROS] of 14.05%, up 1.12 percentage points year-over-year; for FY2025, it came in at 12.85%, up 0.55 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +1.39 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 12.30% in FY2024 (+1.66 pp), 10.64% in FY2023 (-3.05 pp), 13.69% in FY2022 (+1.37 pp) and 12.32% in FY2021 (+0.86 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q2 2009.
- Year-over-year, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +1.99 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 8.85 percentage points), and the weakest in Q4 2023 (a drop of 9.51 percentage points).
- Business Quant data shows SXT's Return on Sales [ROS] at 15.31% (Q1 2026), 9.71% (Q4 2025) and 14.00% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn | 7.62% |
| 10 | Sensient Technologies | 5.59 Bn | 5.44 Bn | 172.80 Mn | 16.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.60% |
| Mar 31, 2026 | 15.31% |
| Dec 31, 2025 | 9.71% |
| Sep 30, 2025 | 14.00% |
| Jun 30, 2025 | 13.93% |
| Mar 31, 2025 | 13.64% |
| Dec 31, 2024 | 11.16% |
| Sep 30, 2024 | 12.87% |
| Jun 30, 2024 | 12.31% |
| Mar 31, 2024 | 12.84% |
| Dec 31, 2023 | 2.31% |
| Sep 30, 2023 | 12.24% |
| Jun 30, 2023 | 13.78% |
| Mar 31, 2023 | 13.78% |
| Dec 31, 2022 | 11.82% |
| Sep 30, 2022 | 13.15% |
| Jun 30, 2022 | 14.86% |
| Mar 31, 2022 | 14.85% |
| Dec 31, 2021 | 11.87% |
| Sep 30, 2021 | 13.64% |
API Access
Sensient Technologies 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=SXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();