Griffon (GFF) Return on Sales [ROS] (2010 - 2026)
Griffon's Return on Sales [ROS] was 23.99% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 53.36 percentage points from -29.37% a year earlier and up 3.29 percentage points from the prior quarter.
Griffon (GFF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Griffon's Return on Sales [ROS] was 16.69% through Jun 30, 2026, up 8.27 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 8.19%, down 7.00 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +1.43 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 15.18% in FY2024 (+7.85 pp), 7.33% in FY2023 (+13.97 pp), -6.64% in FY2022 (-14.15 pp) and 7.51% in FY2021 (+0.76 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to fiscal Q3 2010.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +2.25 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2023 (a gain of 73.54 percentage points); the worst was fiscal Q4 2022 (a drop of 66.85 percentage points).
- Per Business Quant data, GFF's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 20.70% (Q2 2026), 17.46% (Q1 2026) and 11.92% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn | 22.45% |
| 10 | Griffon | 4.24 Bn | 3.82 Bn | 226.05 Mn | 23.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.99% |
| Mar 31, 2026 | 20.70% |
| Dec 31, 2025 | 17.46% |
| Sep 30, 2025 | 11.92% |
| Jun 30, 2025 | -29.37% |
| Mar 31, 2025 | 21.30% |
| Dec 31, 2024 | 17.73% |
| Sep 30, 2024 | 16.93% |
| Jun 30, 2024 | 13.79% |
| Mar 31, 2024 | 16.86% |
| Dec 31, 2023 | 13.04% |
| Sep 30, 2023 | 12.38% |
| Jun 30, 2023 | 14.95% |
| Mar 31, 2023 | -9.26% |
| Dec 31, 2022 | 12.49% |
| Sep 30, 2022 | -61.16% |
| Jun 30, 2022 | 13.44% |
| Mar 31, 2022 | 13.19% |
| Dec 31, 2021 | 6.50% |
| Sep 30, 2021 | 5.70% |
Griffon 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=GFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GFF", "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=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();