Griffon (GFF) Return on Assets [ROA] (2011 - 2026)
Griffon (GFF) recorded Return on Assets [ROA] of 9.54% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.38 percentage points from 3.16% a year earlier and up 8.84 percentage points from the prior quarter.
Griffon (GFF) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Griffon reported Return on Assets [ROA] of 2.30%, down 6.47 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of -0.06 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at 8.76% in FY2024 (+5.80 pp), 2.97% in FY2023 (+10.03 pp), -7.07% in FY2022 (-10.20 pp) and 3.14% in FY2021 (+0.77 pp).
- The fiscal Q3 2026 figure is the highest quarterly Return on Assets [ROA] since fiscal Q2 2025.
- On a year-over-year basis, Return on Assets [ROA] rose in four of the last eight quarters, with an average year-over-year change of -0.83 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 22.46 percentage points in fiscal Q3 2024, against a drop of 21.19 percentage points in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.70% (Q2 2026), 2.51% (Q1 2026) and 2.80% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 12.74% |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 9.47% |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 4.52% |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 3.55% |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 14.55% |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 1.08% |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 17.62% |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 12.34% |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 11.85% |
| 10 | Griffon | 4.23 Bn | 3.82 Bn | 226.05 Mn | 9.54% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.54% |
| Mar 31, 2026 | 0.70% |
| Dec 31, 2025 | 2.51% |
| Sep 30, 2025 | 2.80% |
| Jun 30, 2025 | 3.16% |
| Mar 31, 2025 | 9.90% |
| Dec 31, 2024 | 10.16% |
| Sep 30, 2024 | 8.84% |
| Jun 30, 2024 | 7.89% |
| Mar 31, 2024 | 8.20% |
| Dec 31, 2023 | 2.95% |
| Sep 30, 2023 | 3.11% |
| Jun 30, 2023 | -14.57% |
| Mar 31, 2023 | -10.67% |
| Dec 31, 2022 | -5.80% |
| Sep 30, 2022 | -6.06% |
| Jun 30, 2022 | 6.62% |
| Mar 31, 2022 | 3.69% |
| Dec 31, 2021 | 2.66% |
| Sep 30, 2021 | 3.07% |
Griffon Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();