Fortune Brands Innovations (FBIN) Return on Capital Employed [ROCE] (2011 - 2026)
Fortune Brands Innovations' Return on Capital Employed [ROCE] was 5.52% in Q2 2026, down 6.18 percentage points from 11.70% a year earlier and down 3.07 percentage points from the prior quarter.
Fortune Brands Innovations (FBIN) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Fortune Brands Innovations came in at 9.44%, down 5.44 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -0.92 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 14.87% in FY2024 (+2.92 pp), 11.96% in FY2023 (-6.31 pp), 18.27% in FY2022 (-0.04 pp) and 18.30% in FY2021 (+7.94 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q4 2012.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for five straight quarters, with an average year-over-year change of -1.75 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2023 (a gain of 4.05 percentage points); the worst was Q3 2022 (a drop of 7.94 percentage points).
- Per Business Quant data, FBIN's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 8.58% (Q1 2026), 9.47% (Q4 2025) and 10.36% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 26.65% |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 10.95% |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 25.26% |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 6.15% |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 87.23% |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 4.22% |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 36.39% |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 19.60% |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 19.44% |
| 10 | Fortune Brands Innovations | 4.54 Bn | 3.62 Bn | 590.70 Mn | 5.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.52% |
| Mar 28, 2026 | 8.58% |
| Dec 27, 2025 | 9.47% |
| Sep 27, 2025 | 10.36% |
| Jun 28, 2025 | 11.70% |
| Mar 29, 2025 | 13.29% |
| Dec 28, 2024 | 14.82% |
| Sep 28, 2024 | 13.59% |
| Jun 29, 2024 | 13.21% |
| Mar 30, 2024 | 11.37% |
| Dec 30, 2023 | 11.40% |
| Sep 30, 2023 | 11.94% |
| Jul 1, 2023 | 13.79% |
| Apr 1, 2023 | 15.67% |
| Dec 31, 2022 | 13.53% |
| Sep 30, 2022 | 9.06% |
| Jun 30, 2022 | 9.74% |
| Mar 31, 2022 | 13.52% |
| Dec 31, 2021 | 17.31% |
| Sep 30, 2021 | 17.00% |
Fortune Brands Innovations 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=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FBIN", "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=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();