Griffon (GFF) Operating Margin (2010 - 2026)
Griffon (GFF) posted Operating Margin of 23.99% for 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) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Griffon was 16.69%, up 8.27 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 8.19%, down 7.00 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +1.43 percentage points (FY2020 to FY2025).
- In prior fiscal years, Griffon's Operating Margin 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 stands as the highest quarterly Operating Margin in data going back to fiscal Q3 2010.
- On a year-over-year basis, Operating Margin increased in four of the last eight quarters, with an average year-over-year change of +2.25 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q4 2023, with a gain of 73.54 percentage points; the weakest was fiscal Q4 2022, with a drop of 66.85 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was 20.70% (Q2 2026), 17.46% (Q1 2026) and 11.92% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 22.45% |
| 10 | Griffon | 4.37 Bn | 3.96 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 Operating Margin 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=operating-margin&ticker=GFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();