Griffon (GFF) EBITDA Margin (2010 - 2026)
Griffon's EBITDA Margin was 26.13% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 53.28 percentage points from -27.15% a year earlier and up 3.91 percentage points from the prior quarter.
Griffon (GFF) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Griffon's EBITDA Margin was 19.11% through Jun 30, 2026, up 8.52 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 10.69%, down 6.81 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +1.41 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was 17.50% in FY2024 (+7.73 pp), 9.77% in FY2023 (+14.14 pp), -4.37% in FY2022 (-14.18 pp) and 9.82% in FY2021 (+0.54 pp).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA Margin in data going back to fiscal Q4 2010.
- Compared with a year earlier, EBITDA Margin was higher in four of the last eight quarters, with an average year-over-year change of +2.42 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q4 2023 (a gain of 73.45 percentage points); the worst was fiscal Q4 2022 (a drop of 66.68 percentage points).
- Per Business Quant data, GFF's EBITDA Margin in the three fiscal quarters before Q3 2026 was 22.22% (Q2 2026), 19.88% (Q1 2026) and 14.78% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 21.00% |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 17.37% |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 18.41% |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 17.93% |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 15.99% |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 26.21% |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 25.22% |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 25.55% |
| 10 | Griffon | 4.37 Bn | 3.96 Bn | 226.05 Mn | 26.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.13% |
| Mar 31, 2026 | 22.22% |
| Dec 31, 2025 | 19.88% |
| Sep 30, 2025 | 14.78% |
| Jun 30, 2025 | -27.15% |
| Mar 31, 2025 | 22.70% |
| Dec 31, 2024 | 20.20% |
| Sep 30, 2024 | 19.29% |
| Jun 30, 2024 | 15.24% |
| Mar 31, 2024 | 18.27% |
| Dec 31, 2023 | 15.34% |
| Sep 30, 2023 | 14.78% |
| Jun 30, 2023 | 16.41% |
| Mar 31, 2023 | -7.62% |
| Dec 31, 2022 | 15.12% |
| Sep 30, 2022 | -58.67% |
| Jun 30, 2022 | 15.02% |
| Mar 31, 2022 | 14.70% |
| Dec 31, 2021 | 8.72% |
| Sep 30, 2021 | 8.01% |
Griffon EBITDA 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=ebitda-margin&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();