SCI Engineered Materials (SCIA) Return on Sales [ROS] (2010 - 2026)
SCI Engineered Materials (SCIA) recorded Return on Sales [ROS] of 14.75% in Q2 2026, up 4.90 percentage points from 9.86% a year earlier and up 8.76 percentage points from the prior quarter.
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Analysis
SCI Engineered Materials (SCIA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, SCI Engineered Materials' Return on Sales [ROS] came in at 10.15% as of Jun 30, 2026, up 0.80 percentage points year-over-year; for FY2025, it came in at 9.33%, up 0.39 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +4.59 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 8.94% in FY2024 (+0.03 pp), 8.91% in FY2023 (-1.66 pp), 10.57% in FY2022 (-2.65 pp) and 13.22% in FY2021 (+8.48 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q3 2021.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +0.60 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 12.31 percentage points in Q3 2021, against a drop of 6.35 percentage points in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.99% (Q1 2026), 8.76% (Q4 2025) and 10.21% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.70 Bn | 217.28 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 108.32 Bn | 100.89 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 82.88 Bn | 81.92 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.58 Bn | 63.77 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.35 Bn | 31.85 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 24.61 Bn | 17.26 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 23.87 Bn | 21.53 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 23.17 Bn | 6.66 Bn | 2.17 Bn | 7.62% |
| 10 | SCI Engineered Materials | 46.73 Mn | 9.48 Mn | 2.28 Mn | 14.75% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.75% |
| Mar 31, 2026 | 5.99% |
| Dec 31, 2025 | 8.76% |
| Sep 30, 2025 | 10.21% |
| Jun 30, 2025 | 9.86% |
| Mar 31, 2025 | 8.64% |
| Dec 31, 2024 | 9.55% |
| Sep 30, 2024 | 9.25% |
| Jun 30, 2024 | 10.58% |
| Mar 31, 2024 | 7.36% |
| Dec 31, 2023 | 7.75% |
| Sep 30, 2023 | 9.22% |
| Jun 30, 2023 | 7.94% |
| Mar 31, 2023 | 11.17% |
| Dec 31, 2022 | 11.42% |
| Sep 30, 2022 | 10.48% |
| Jun 30, 2022 | 11.59% |
| Mar 31, 2022 | 8.48% |
| Dec 31, 2021 | 9.17% |
| Sep 30, 2021 | 16.83% |
API Access
SCI Engineered Materials 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=SCIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SCIA", "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=SCIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();