Griffon (GFF) Operating Expenses (2010 - 2026)
Griffon (GFF) recorded Operating Expenses of $110.55 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 68.5% from $350.9 million a year earlier but up 5.6% from the prior quarter.
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Analysis
Griffon (GFF) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Griffon's Operating Expenses came in at $654.93 million as of Jun 30, 2026, down 14.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $851.73 million, up 37.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $621.64 million in FY2024 (-17.3%), $751.93 million in FY2023 (-33.2%), $1.13 billion in FY2022 (+139.3%) and $470.53 million in FY2021 (+5.9%).
- Quarterly Operating Expenses has ranged from $104.64 million in fiscal Q2 2026 to $683.38 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with growth averaging 12.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 453.8% in fiscal Q4 2022, against a decline of 75.6% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $104.64 million (Q2 2026), $153.41 million (Q1 2026) and $286.33 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Griffon | 4.37 Bn | 3.96 Bn | 226.05 Mn | 110.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.55 Mn |
| Mar 31, 2026 | 104.64 Mn |
| Dec 31, 2025 | 153.41 Mn |
| Sep 30, 2025 | 286.33 Mn |
| Jun 30, 2025 | 350.90 Mn |
| Mar 31, 2025 | 107.46 Mn |
| Dec 31, 2024 | 152.18 Mn |
| Sep 30, 2024 | 151.81 Mn |
| Jun 30, 2024 | 159.81 Mn |
| Mar 31, 2024 | 157.22 Mn |
| Dec 31, 2023 | 152.80 Mn |
| Sep 30, 2023 | 166.47 Mn |
| Jun 30, 2023 | 172.44 Mn |
| Mar 31, 2023 | 260.30 Mn |
| Dec 31, 2022 | 152.72 Mn |
| Sep 30, 2022 | 683.38 Mn |
| Jun 30, 2022 | 157.39 Mn |
| Mar 31, 2022 | 157.84 Mn |
| Dec 31, 2021 | 127.35 Mn |
| Sep 30, 2021 | 123.39 Mn |
API Access
Griffon Operating Expenses 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-expenses&ticker=GFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();