Griffon (GFF) EBITDA (2010 - 2026)
Griffon (GFF) reported EBITDA of $125.78 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$122.08 million a year earlier and up 34.2% from the prior quarter.
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Analysis
Griffon (GFF) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Griffon's EBITDA came in at $525.93 million, up 129.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $269.29 million, down 41.3% from FY2024.
- EBITDA has a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $459 million in FY2024 (+75.0%), $262.33 million in FY2023, -$124.41 million in FY2022 and $222.89 million in FY2021 (+16.3%).
- Five-year quarterly EBITDA spans a low of -$415.94 million in fiscal Q4 2022 and a high of $177.36 million in fiscal Q4 2025.
- Year over year, EBITDA gained in four of the last six quarters, with growth averaging 13.3%.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2022 (growth of 117.7%); the low point was fiscal Q2 2025 (a decline of 21.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $93.73 million (Q2 2026), $129.06 million (Q1 2026) and $177.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.75 Bn | 97.47 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.01 Bn | 87.74 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 51.61 Bn | 46.86 Bn | 844.23 Mn | 601.51 Mn |
| 4 | Carrier Global | 45.80 Bn | 40.11 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 27.26 Bn | 23.68 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.86 Bn | 13.93 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 14.53 Bn | 12.38 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.32 Bn | 12.03 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 13.28 Bn | 9.63 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Griffon | 4.07 Bn | 3.66 Bn | 226.05 Mn | 126.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.72 Mn |
| Mar 31, 2026 | 94.69 Mn |
| Dec 31, 2025 | 130.11 Mn |
| Sep 30, 2025 | 178.46 Mn |
| Jun 30, 2025 | -121.08 Mn |
| Mar 31, 2025 | 97.84 Mn |
| Dec 31, 2024 | 128.74 Mn |
| Sep 30, 2024 | 128.26 Mn |
| Jun 30, 2024 | 99.75 Mn |
| Mar 31, 2024 | 123.98 Mn |
| Dec 31, 2023 | 99.72 Mn |
| Sep 30, 2023 | 95.98 Mn |
| Jun 30, 2023 | 113.18 Mn |
| Mar 31, 2023 | -53.22 Mn |
| Dec 31, 2022 | 99.24 Mn |
| Sep 30, 2022 | -414.92 Mn |
| Jun 30, 2022 | 116.53 Mn |
| Mar 31, 2022 | 115.48 Mn |
| Dec 31, 2021 | 52.24 Mn |
| Sep 30, 2021 | 46.33 Mn |
API Access
Griffon EBITDA 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&ticker=GFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();