Griffon (GFF) Operating Leases (2019 - 2026)
Griffon (GFF) posted Operating Leases of $52.52 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 63.1% from $142.21 million a year earlier and down 4.9% from the prior quarter.
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Analysis
Griffon (GFF) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Griffon's Operating Leases came in at $40.45 million, down 72.5% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -20.9% (FY2020 to FY2025).
- In prior fiscal years, Griffon's Operating Leases was $147.37 million in FY2024 (+0.1%), $147.22 million in FY2023 (-7.6%), $159.41 million in FY2022 (+33.6%) and $119.32 million in FY2021 (-8.6%).
- Quarterly Operating Leases has run from a low of $40.45 million in fiscal Q4 2025 to a high of $167.55 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Operating Leases increased in three of the last eight quarters, with an average decline of 23.9%.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q1 2023, with growth of 37.1%; the weakest was fiscal Q4 2025, with a decline of 72.5%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $55.2 million (Q2 2026), $159.3 million (Q1 2026) and $40.45 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 | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Griffon | 4.37 Bn | 3.96 Bn | 226.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.52 Mn |
| Mar 31, 2026 | 55.20 Mn |
| Dec 31, 2025 | 159.30 Mn |
| Sep 30, 2025 | 40.45 Mn |
| Jun 30, 2025 | 142.21 Mn |
| Mar 31, 2025 | 142.57 Mn |
| Dec 31, 2024 | 147.46 Mn |
| Sep 30, 2024 | 147.37 Mn |
| Jun 30, 2024 | 138.67 Mn |
| Mar 31, 2024 | 145.30 Mn |
| Dec 31, 2023 | 152.34 Mn |
| Sep 30, 2023 | 147.22 Mn |
| Jun 30, 2023 | 154.61 Mn |
| Mar 31, 2023 | 155.02 Mn |
| Dec 31, 2022 | 160.66 Mn |
| Sep 30, 2022 | 159.41 Mn |
| Jun 30, 2022 | 167.55 Mn |
| Mar 31, 2022 | 122.49 Mn |
| Dec 31, 2021 | 117.19 Mn |
| Sep 30, 2021 | 119.32 Mn |
API Access
Griffon Operating Leases 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-leases&ticker=GFF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();