Griffon (GFF) EBIT (2010 - 2026)
Griffon (GFF) posted EBIT of $115.5 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$132.05 million a year earlier and up 32.2% from the prior quarter.
Griffon (GFF) EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Griffon was $459.31 million, up 151.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $206.28 million, down 48.2% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior fiscal years, Griffon's EBIT was $398.3 million in FY2024 (+102.3%), $196.89 million in FY2023, -$189.07 million in FY2022 and $170.58 million in FY2021 (+22.2%).
- Quarterly EBIT has run from a low of -$433.58 million in fiscal Q4 2022 to a high of $143.1 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, EBIT increased in four of the last six quarters, with growth averaging 13.3%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q3 2022, with growth of 145.1%; the weakest was fiscal Q1 2022, with a decline of 26.6%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $87.35 million (Q2 2026), $113.36 million (Q1 2026) and $143.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.22 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 557.97 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 825.00 Mn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 575.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 217.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 470.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 254.70 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 352.50 Mn |
| 10 | Griffon | 4.37 Bn | 3.96 Bn | 226.05 Mn | 115.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.50 Mn |
| Mar 31, 2026 | 87.35 Mn |
| Dec 31, 2025 | 113.36 Mn |
| Sep 30, 2025 | 143.10 Mn |
| Jun 30, 2025 | -132.05 Mn |
| Mar 31, 2025 | 90.89 Mn |
| Dec 31, 2024 | 112.10 Mn |
| Sep 30, 2024 | 111.67 Mn |
| Jun 30, 2024 | 89.34 Mn |
| Mar 31, 2024 | 113.45 Mn |
| Dec 31, 2023 | 83.84 Mn |
| Sep 30, 2023 | 79.41 Mn |
| Jun 30, 2023 | 102.19 Mn |
| Mar 31, 2023 | -65.81 Mn |
| Dec 31, 2022 | 81.11 Mn |
| Sep 30, 2022 | -433.58 Mn |
| Jun 30, 2022 | 103.21 Mn |
| Mar 31, 2022 | 102.81 Mn |
| Dec 31, 2021 | 38.49 Mn |
| Sep 30, 2021 | 32.48 Mn |
Griffon EBIT 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=ebit&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();