Griffon (GFF) Total Liabilities (2010 - 2026)
Griffon (GFF) posted Total Liabilities of $1.71 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 15.6% from $2.02 billion a year earlier and down 13.4% from the prior quarter.
Griffon (GFF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Griffon's Total Liabilities came in at $2 billion, down 6.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior fiscal years, Griffon's Total Liabilities was $2.15 billion in FY2024 (+2.0%), $2.1 billion in FY2023 (-10.1%), $2.34 billion in FY2022 (+30.1%) and $1.8 billion in FY2021 (+2.8%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q4 2019.
- On a year-over-year basis, Total Liabilities has declined in each of the last seven quarters, with an average decline of 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2022, with growth of 65.0%; the weakest was fiscal Q2 2023, with a decline of 24.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.97 billion (Q2 2026), $1.95 billion (Q1 2026) and $2 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 15.28 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 5.27 Bn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 23.90 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 16.90 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 6.95 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 5.77 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 3.24 Bn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 4.62 Bn |
| 10 | Griffon | 4.37 Bn | 3.96 Bn | 226.05 Mn | 1.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.71 Bn |
| Mar 31, 2026 | 1.97 Bn |
| Dec 31, 2025 | 1.95 Bn |
| Sep 30, 2025 | 2.00 Bn |
| Jun 30, 2025 | 2.02 Bn |
| Mar 31, 2025 | 2.13 Bn |
| Dec 31, 2024 | 2.10 Bn |
| Sep 30, 2024 | 2.15 Bn |
| Jun 30, 2024 | 2.16 Bn |
| Mar 31, 2024 | 2.22 Bn |
| Dec 31, 2023 | 2.11 Bn |
| Sep 30, 2023 | 2.10 Bn |
| Jun 30, 2023 | 2.24 Bn |
| Mar 31, 2023 | 2.19 Bn |
| Dec 31, 2022 | 2.25 Bn |
| Sep 30, 2022 | 2.34 Bn |
| Jun 30, 2022 | 2.60 Bn |
| Mar 31, 2022 | 2.90 Bn |
| Dec 31, 2021 | 1.77 Bn |
| Sep 30, 2021 | 1.80 Bn |
Griffon Total Liabilities 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=total-liabilities&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();