Griffon (GFF) Accumulated Expenses (2010 - 2026)
Griffon (GFF) recorded Accumulated Expenses of $130.55 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 19.7% from $162.52 million a year earlier but up 40.9% from the prior quarter.
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Analysis
Griffon (GFF) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Griffon reported Accumulated Expenses of $114.63 million, down 37.0% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $181.92 million in FY2024 (-5.8%), $193.1 million in FY2023 (+12.4%), $171.8 million in FY2022 (+18.5%) and $144.93 million in FY2021 (+0.7%).
- Quarterly Accumulated Expenses has ranged from $92.64 million in fiscal Q2 2026 to $306.28 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for eight consecutive quarters, with an average decline of 18.2% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 91.4% in fiscal Q3 2022, against a decline of 40.2% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $92.64 million (Q2 2026), $157.28 million (Q1 2026) and $114.63 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Griffon | 4.23 Bn | 3.82 Bn | 226.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.55 Mn |
| Mar 31, 2026 | 92.64 Mn |
| Dec 31, 2025 | 157.28 Mn |
| Sep 30, 2025 | 114.63 Mn |
| Jun 30, 2025 | 162.52 Mn |
| Mar 31, 2025 | 144.78 Mn |
| Dec 31, 2024 | 166.89 Mn |
| Sep 30, 2024 | 181.92 Mn |
| Jun 30, 2024 | 185.22 Mn |
| Mar 31, 2024 | 174.25 Mn |
| Dec 31, 2023 | 190.10 Mn |
| Sep 30, 2023 | 193.10 Mn |
| Jun 30, 2023 | 183.16 Mn |
| Mar 31, 2023 | 169.39 Mn |
| Dec 31, 2022 | 178.15 Mn |
| Sep 30, 2022 | 171.80 Mn |
| Jun 30, 2022 | 306.28 Mn |
| Mar 31, 2022 | 222.33 Mn |
| Dec 31, 2021 | 147.27 Mn |
| Sep 30, 2021 | 144.93 Mn |
API Access
Griffon Accumulated 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=accumulated-expenses&ticker=GFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();