Griffon (GFF) Return on Capital Employed [ROCE] (2011 - 2026)
Griffon's Return on Capital Employed [ROCE] came in at 27.82% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 18.10 percentage points from 9.72% a year earlier and up 14.84 percentage points from the prior quarter.
Griffon (GFF) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Griffon's Return on Capital Employed [ROCE] was 11.61%, down 7.86 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +3.94 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 19.47% in FY2024 (+10.75 pp), 8.72% in FY2023 (+16.98 pp), -8.27% in FY2022 (-16.82 pp) and 8.55% in FY2021 (+0.88 pp).
- The fiscal Q3 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q4 2011.
- Year-over-year, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of +1.32 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q3 2024 (a gain of 32.32 percentage points), and the weakest in fiscal Q3 2023 (a drop of 23.23 percentage points).
- Business Quant data shows GFF's Return on Capital Employed [ROCE] at 12.98% (Q2 2026), 12.49% (Q1 2026) and 13.09% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn | 26.65% |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn | 10.95% |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn | 25.26% |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn | 6.15% |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn | 87.23% |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn | 4.22% |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn | 36.39% |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn | 19.60% |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn | 19.44% |
| 10 | Griffon | 4.24 Bn | 3.82 Bn | 226.05 Mn | 27.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.82% |
| Mar 31, 2026 | 12.98% |
| Dec 31, 2025 | 12.49% |
| Sep 30, 2025 | 13.09% |
| Jun 30, 2025 | 9.72% |
| Mar 31, 2025 | 20.16% |
| Dec 31, 2024 | 21.41% |
| Sep 30, 2024 | 19.66% |
| Jun 30, 2024 | 18.17% |
| Mar 31, 2024 | 18.51% |
| Dec 31, 2023 | 9.91% |
| Sep 30, 2023 | 9.22% |
| Jun 30, 2023 | -14.15% |
| Mar 31, 2023 | -13.48% |
| Dec 31, 2022 | -6.09% |
| Sep 30, 2022 | -6.91% |
| Jun 30, 2022 | 9.08% |
| Mar 31, 2022 | 8.30% |
| Dec 31, 2021 | 7.53% |
| Sep 30, 2021 | 8.34% |
Griffon Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GFF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GFF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();