Griffon (GFF) Cash from Operations (2010 - 2026)
Griffon (GFF) reported Cash from Operations of $99.63 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.1% from $94.82 million a year earlier and up 780.0% from the prior quarter.
Griffon (GFF) Cash from Operations (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Griffon's Cash from Operations came in at $340.87 million, up 11.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $357.44 million, down 5.9% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- By fiscal year, Cash from Operations came in at $380.04 million in FY2024 (-12.0%), $431.77 million in FY2023 (+628.8%), $59.24 million in FY2022 (-15.1%) and $69.81 million in FY2021 (-34.7%).
- Five-year quarterly Cash from Operations spans a low of -$88.37 million in fiscal Q2 2022 and a high of $147.37 million in fiscal Q3 2023.
- Year over year, Cash from Operations gained in two of the last six quarters, with an average decline of 2.6%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q4 2022 (growth of 119.9%); the low point was fiscal Q2 2024 (a decline of 53.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $11.32 million (Q2 2026), $106.99 million (Q1 2026) and $122.92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.10 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.29 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 1.14 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 927.00 Mn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 267.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 344.00 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 496.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 198.40 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 241.80 Mn |
| 10 | Griffon | 4.29 Bn | 3.88 Bn | 226.05 Mn | 99.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.63 Mn |
| Mar 31, 2026 | 11.32 Mn |
| Dec 31, 2025 | 106.99 Mn |
| Sep 30, 2025 | 122.92 Mn |
| Jun 30, 2025 | 94.82 Mn |
| Mar 31, 2025 | -3.23 Mn |
| Dec 31, 2024 | 142.92 Mn |
| Sep 30, 2024 | 72.10 Mn |
| Jun 30, 2024 | 122.08 Mn |
| Mar 31, 2024 | 39.80 Mn |
| Dec 31, 2023 | 146.06 Mn |
| Sep 30, 2023 | 122.76 Mn |
| Jun 30, 2023 | 147.37 Mn |
| Mar 31, 2023 | 86.16 Mn |
| Dec 31, 2022 | 75.48 Mn |
| Sep 30, 2022 | 124.24 Mn |
| Jun 30, 2022 | 108.37 Mn |
| Mar 31, 2022 | -88.37 Mn |
| Dec 31, 2021 | -85.01 Mn |
| Sep 30, 2021 | 56.49 Mn |
Griffon Cash from 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=cash-from-operations&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-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=cash-from-operations&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();