Gencor Industries (GENC) Return on Sales [ROS] (2010 - 2026)
Gencor Industries (GENC) posted Return on Sales [ROS] of 17.16% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.54 percentage points from 11.62% a year earlier and up 4.63 percentage points from the prior quarter.
Gencor Industries (GENC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Gencor Industries was 11.74%, down 1.43 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 12.14%, up 0.05 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +4.99 percentage points (FY2020 to FY2025).
- In prior fiscal years, Gencor Industries' Return on Sales [ROS] was 12.09% in FY2024 (-0.68 pp), 12.78% in FY2023 (+8.75 pp), 4.03% in FY2022 (+3.20 pp) and 0.82% in FY2021 (-6.33 pp).
- The fiscal Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since fiscal Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -1.18 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2023, with a gain of 13.39 percentage points; the weakest was fiscal Q4 2025, with a drop of 7.11 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 12.53% (Q2 2026), 13.15% (Q1 2026) and -1.18% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 22.81% |
| 10 | Gencor Industries | 250.07 Mn | -353.27 Mn | 9.43 Mn | 17.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.16% |
| Mar 31, 2026 | 12.53% |
| Dec 31, 2025 | 13.15% |
| Sep 30, 2025 | -1.18% |
| Jun 30, 2025 | 11.62% |
| Mar 31, 2025 | 16.96% |
| Dec 31, 2024 | 14.72% |
| Sep 30, 2024 | 5.92% |
| Jun 30, 2024 | 7.80% |
| Mar 31, 2024 | 17.39% |
| Dec 31, 2023 | 13.00% |
| Sep 30, 2023 | 12.90% |
| Jun 30, 2023 | 12.39% |
| Mar 31, 2023 | 16.92% |
| Dec 31, 2022 | 8.21% |
| Sep 30, 2022 | 4.98% |
| Jun 30, 2022 | 7.26% |
| Mar 31, 2022 | 6.22% |
| Dec 31, 2021 | -5.19% |
| Sep 30, 2021 | -3.52% |
Gencor Industries 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=GENC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GENC", "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=GENC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();