Griffon (GFF) Change in Accured Expenses (2010 - 2026)
Griffon's Change in Accured Expenses came in at $28.71 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$26.42 million a year earlier.
Griffon (GFF) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Griffon reported Change in Accured Expenses of $53.67 million; for FY2025 (ended Sep 30, 2025), it was $17.87 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- Going back by fiscal year, Change in Accured Expenses was -$30.73 million in FY2024, -$67.84 million in FY2023, -$96.37 million in FY2022 and $72.77 million in FY2021 (+80.2%).
- The five-year range for quarterly Change in Accured Expenses is -$51.51 million (fiscal Q4 2022) to $45.59 million (fiscal Q4 2021).
- Business Quant data shows GFF's Change in Accured Expenses at -$10.19 million (Q2 2026), $286,000 (Q1 2026) and $34.86 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 701.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 210.62 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 280.00 Mn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 49.00 Mn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | -10.80 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 92.00 Mn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | - |
| 10 | Griffon | 4.27 Bn | 3.86 Bn | 226.05 Mn | 28.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.71 Mn |
| Mar 31, 2026 | -10.19 Mn |
| Dec 31, 2025 | 286,000.00 |
| Sep 30, 2025 | 34.86 Mn |
| Jun 30, 2025 | -26.42 Mn |
| Mar 31, 2025 | -16.51 Mn |
| Dec 31, 2024 | 25.94 Mn |
| Sep 30, 2024 | -50.19 Mn |
| Jun 30, 2024 | 11.48 Mn |
| Mar 31, 2024 | -28.51 Mn |
| Dec 31, 2023 | 36.49 Mn |
| Sep 30, 2023 | -30.90 Mn |
| Jun 30, 2023 | 14.46 Mn |
| Mar 31, 2023 | -25.08 Mn |
| Dec 31, 2022 | -26.33 Mn |
| Sep 30, 2022 | -51.51 Mn |
| Jun 30, 2022 | -26.21 Mn |
| Mar 31, 2022 | -6.49 Mn |
| Dec 31, 2021 | -12.16 Mn |
| Sep 30, 2021 | 45.59 Mn |
Griffon Change in Accured 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=change-in-accured-expenses&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();