Griffon (GFF) Cash & Equivalents (2010 - 2026)
Griffon's Cash & Equivalents was $110.35 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 2.9% from $107.28 million a year earlier and up 0.6% from the prior quarter.
Griffon (GFF) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cash & Equivalents at Griffon came in at $99.05 million, down 13.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $114.44 million in FY2024 (+11.2%), $102.89 million in FY2023 (-14.4%), $120.18 million in FY2022 (-51.7%) and $248.65 million in FY2021 (+14.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Cash & Equivalents since fiscal Q2 2025.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with an average decline of 3.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2023 (growth of 43.6%); the worst was fiscal Q4 2022 (a decline of 51.7%).
- Per Business Quant data, GFF's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $109.67 million (Q2 2026), $95.28 million (Q1 2026) and $99.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Griffon | 4.23 Bn | 3.82 Bn | 226.05 Mn | 110.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 110.35 Mn |
| Mar 31, 2026 | 109.67 Mn |
| Dec 31, 2025 | 95.28 Mn |
| Sep 30, 2025 | 99.05 Mn |
| Jun 30, 2025 | 107.28 Mn |
| Mar 31, 2025 | 127.82 Mn |
| Dec 31, 2024 | 151.95 Mn |
| Sep 30, 2024 | 114.44 Mn |
| Jun 30, 2024 | 133.45 Mn |
| Mar 31, 2024 | 123.03 Mn |
| Dec 31, 2023 | 110.55 Mn |
| Sep 30, 2023 | 102.89 Mn |
| Jun 30, 2023 | 151.79 Mn |
| Mar 31, 2023 | 175.59 Mn |
| Dec 31, 2022 | 120.56 Mn |
| Sep 30, 2022 | 120.18 Mn |
| Jun 30, 2022 | 144.69 Mn |
| Mar 31, 2022 | 122.29 Mn |
| Dec 31, 2021 | 151.22 Mn |
| Sep 30, 2021 | 248.65 Mn |
Griffon Cash & Equivalents 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-and-equivalents&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();