Griffon (GFF) Long-Term Debt Repayments (2010 - 2026)
Griffon's Long-Term Debt Repayments was $137.01 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 57.5% from $87.01 million a year earlier.
Griffon (GFF) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Griffon's Long-Term Debt Repayments was $238.66 million through Jun 30, 2026, up 48.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $178.65 million, up 5.9% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -32.9% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $168.78 million in FY2024 (-23.9%), $221.78 million in FY2023 (-56.6%), $511.19 million in FY2022 and $27.83 million in FY2021 (-97.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q3 2022.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last eight quarters, with growth averaging 4.0%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q4 2022 (growth of 769.8%); the worst was fiscal Q3 2023 (a decline of 94.8%).
- Per Business Quant data, GFF's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $2.01 million (Q2 2026), $60 million (Q1 2026) and $39.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.93 Bn | 96.65 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 89.98 Bn | 87.71 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 49.19 Bn | 44.45 Bn | 844.23 Mn | 3.95 Mn |
| 4 | Carrier Global | 46.39 Bn | 40.69 Bn | 1.94 Bn | 41.00 Mn |
| 5 | Otis Worldwide | 27.60 Bn | 24.01 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 15.35 Bn | 14.42 Bn | 548.70 Mn | 792.30 Mn |
| 7 | Masco | 14.89 Bn | 12.74 Bn | 868.00 Mn | - |
| 8 | Carlisle Companies | 13.67 Bn | 10.02 Bn | 568.40 Mn | - |
| 9 | Allegion | 13.43 Bn | 12.14 Bn | 517.50 Mn | - |
| 10 | Griffon | 4.17 Bn | 3.75 Bn | 226.05 Mn | 137.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.01 Mn |
| Mar 31, 2026 | 2.01 Mn |
| Dec 31, 2025 | 60.00 Mn |
| Sep 30, 2025 | 39.64 Mn |
| Jun 30, 2025 | 87.01 Mn |
| Mar 31, 2025 | 2.01 Mn |
| Dec 31, 2024 | 50.00 Mn |
| Sep 30, 2024 | 22.05 Mn |
| Jun 30, 2024 | 79.54 Mn |
| Mar 31, 2024 | 3.32 Mn |
| Dec 31, 2023 | 63.86 Mn |
| Sep 30, 2023 | 82.54 Mn |
| Jun 30, 2023 | 20.13 Mn |
| Mar 31, 2023 | 31.57 Mn |
| Dec 31, 2022 | 87.54 Mn |
| Sep 30, 2022 | 83.31 Mn |
| Jun 30, 2022 | 389.98 Mn |
| Mar 31, 2022 | 35.41 Mn |
| Dec 31, 2021 | 2.50 Mn |
| Sep 30, 2021 | 9.58 Mn |
Griffon Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();