Rogers (ROG) Return on Sales [ROS] (2010 - 2026)
Rogers (ROG) recorded Return on Sales [ROS] of 9.23% in Q2 2026, up 42.51 percentage points from -33.28% a year earlier and up 3.89 percentage points from the prior quarter.
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Analysis
Rogers (ROG) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Rogers' Return on Sales [ROS] came in at 6.41% as of Jun 30, 2026, up 14.69 percentage points year-over-year; for FY2025, it was -5.55%, down 8.55 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight years, with a five-year change of -13.94 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 3.00% in FY2024 (-6.39 pp), 9.39% in FY2023 (-5.48 pp), 14.87% in FY2022 (+2.31 pp) and 12.56% in FY2021 (+4.17 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of -1.52 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 42.51 percentage points in Q2 2026, against a drop of 38.56 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.34% (Q1 2026), 3.52% (Q4 2025) and 7.27% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 6.93% |
| 10 | Rogers | 2.24 Bn | 1.47 Bn | 70.40 Mn | 9.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.23% |
| Mar 31, 2026 | 5.34% |
| Dec 31, 2025 | 3.52% |
| Sep 30, 2025 | 7.27% |
| Jun 30, 2025 | -33.28% |
| Mar 31, 2025 | -0.16% |
| Dec 31, 2024 | -6.61% |
| Sep 30, 2024 | 6.94% |
| Jun 30, 2024 | 5.28% |
| Mar 31, 2024 | 5.48% |
| Dec 31, 2023 | 14.91% |
| Sep 30, 2023 | 11.87% |
| Jun 30, 2023 | 12.08% |
| Mar 31, 2023 | -0.12% |
| Dec 31, 2022 | 36.94% |
| Sep 30, 2022 | 7.47% |
| Jun 30, 2022 | 9.29% |
| Mar 31, 2022 | 8.01% |
| Dec 31, 2021 | 4.54% |
| Sep 30, 2021 | 14.19% |
API Access
Rogers 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=ROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ROG", "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=ROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();