Griffon (GFF) Liabilities from Discontinued Operations (2010 - 2026)
Griffon's Liabilities from Discontinued Operations came in at $53.81 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $4.49 million a year earlier and down 76.3% from the prior quarter.
Griffon (GFF) Liabilities from Discontinued Operations (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Griffon's Liabilities from Discontinued Operations was $4.77 million, up 45.9% from FY2024.
- Liabilities from Discontinued Operations carries a five-year compound annual growth rate of -15.1% (FY2020 to FY2025).
- Going back by fiscal year, Liabilities from Discontinued Operations was $3.27 million in FY2024 (-29.7%), $4.65 million in FY2023 (+9.1%), $4.26 million in FY2022 (-39.8%) and $7.07 million in FY2021 (-34.6%).
- The five-year range for quarterly Liabilities from Discontinued Operations is $3.24 million (fiscal Q1 2025) to $226.92 million (fiscal Q2 2026).
- Year-over-year, Liabilities from Discontinued Operations increased in two of the last six quarters, with an average decline of 1.2%.
- The fastest year-over-year change in Liabilities from Discontinued Operations over five years came in fiscal Q3 2022 (growth of 314.6%), and the weakest in fiscal Q3 2023 (a decline of 83.7%).
- Business Quant data shows GFF's Liabilities from Discontinued Operations at $226.92 million (Q2 2026), $4.74 million (Q1 2026) and $4.77 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.81 Mn |
| Mar 31, 2026 | 226.92 Mn |
| Dec 31, 2025 | 4.74 Mn |
| Sep 30, 2025 | 4.77 Mn |
| Jun 30, 2025 | 4.49 Mn |
| Mar 31, 2025 | 4.23 Mn |
| Dec 31, 2024 | 3.24 Mn |
| Sep 30, 2024 | 3.27 Mn |
| Jun 30, 2024 | 5.80 Mn |
| Mar 31, 2024 | 5.24 Mn |
| Dec 31, 2023 | 4.49 Mn |
| Sep 30, 2023 | 4.65 Mn |
| Jun 30, 2023 | 5.65 Mn |
| Mar 31, 2023 | 5.72 Mn |
| Dec 31, 2022 | 4.21 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 34.63 Mn |
| Mar 31, 2022 | 7.72 Mn |
| Dec 31, 2021 | 6.84 Mn |
| Sep 30, 2021 | 7.07 Mn |
Griffon Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();