Fortune Brands Innovations (FBIN) Return on Sales [ROS] (2010 - 2026)
Fortune Brands Innovations (FBIN) reported Return on Sales [ROS] of -0.78% for Q2 2026, down 15.04 percentage points from 14.26% a year earlier and down 6.73 percentage points from the prior quarter.
Fortune Brands Innovations (FBIN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Fortune Brands Innovations' Return on Sales [ROS] came in at 6.80%, down 7.70 percentage points year-over-year; for FY2025, it came in at 11.56%, down 4.45 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -4.11 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 16.01% in FY2024 (+2.72 pp), 13.29% in FY2023 (-3.10 pp), 16.39% in FY2022 (-0.50 pp) and 16.89% in FY2021 (+1.22 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2021.
- Year over year, Return on Sales [ROS] has now declined in each of the last six quarters, with an average year-over-year change of -3.72 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 17.65 percentage points); the low point was Q4 2021 (a drop of 15.59 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 5.95% (Q1 2026), 11.29% (Q4 2025) and 10.96% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 22.45% |
| 10 | Fortune Brands Innovations | 4.54 Bn | 3.62 Bn | 590.70 Mn | -0.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -0.78% |
| Mar 28, 2026 | 5.95% |
| Dec 27, 2025 | 11.29% |
| Sep 27, 2025 | 10.96% |
| Jun 28, 2025 | 14.26% |
| Mar 29, 2025 | 9.39% |
| Dec 28, 2024 | 16.15% |
| Sep 28, 2024 | 17.75% |
| Jun 29, 2024 | 16.06% |
| Mar 30, 2024 | 14.01% |
| Dec 30, 2023 | 11.53% |
| Sep 30, 2023 | 15.58% |
| Jul 1, 2023 | 13.11% |
| Apr 1, 2023 | 12.67% |
| Dec 31, 2022 | 16.11% |
| Sep 30, 2022 | 16.12% |
| Jun 30, 2022 | 17.48% |
| Mar 31, 2022 | 15.77% |
| Dec 31, 2021 | -1.54% |
| Sep 30, 2021 | 22.57% |
Fortune Brands Innovations Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=FBIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();