Fortune Brands Innovations (FBIN) Gross Margin (2010 - 2026)
Fortune Brands Innovations (FBIN) posted Gross Margin of 51.19% for Q2 2026, up 6.05 percentage points from 45.14% a year earlier and up 8.11 percentage points from the prior quarter.
Fortune Brands Innovations (FBIN) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Gross Margin at Fortune Brands Innovations was 45.95%, up 0.67 percentage points year-over-year; for FY2025, it was 44.57%, down 0.26 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +4.15 percentage points (FY2020 to FY2025).
- In prior years, Fortune Brands Innovations' Gross Margin was 44.83% in FY2024 (+3.52 pp), 41.32% in FY2023 (+0.39 pp), 40.93% in FY2022 (+0.09 pp) and 40.83% in FY2021 (+0.41 pp).
- The Q2 2026 figure stands as the highest quarterly Gross Margin since Q4 2021.
- On a year-over-year basis, Gross Margin increased in five of the last eight quarters, with an average year-over-year change of +1.29 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2022, with a gain of 45.12 percentage points; the weakest was Q4 2022, with a drop of 123.68 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 43.08% (Q1 2026), 43.82% (Q4 2025) and 45.20% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 35.57% |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 37.41% |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 25.85% |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 30.59% |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 29.52% |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 37.21% |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 43.57% |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 44.94% |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 36.20% |
| 10 | Fortune Brands Innovations | 4.59 Bn | 3.67 Bn | 590.70 Mn | 51.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 51.19% |
| Mar 28, 2026 | 43.08% |
| Dec 27, 2025 | 43.82% |
| Sep 27, 2025 | 45.20% |
| Jun 28, 2025 | 45.14% |
| Mar 29, 2025 | 44.01% |
| Dec 28, 2024 | 46.00% |
| Sep 28, 2024 | 45.86% |
| Jun 29, 2024 | 43.63% |
| Mar 30, 2024 | 43.94% |
| Dec 30, 2023 | 42.62% |
| Sep 30, 2023 | 42.82% |
| Jul 1, 2023 | 40.23% |
| Apr 1, 2023 | 39.26% |
| Dec 31, 2022 | 41.73% |
| Sep 30, 2022 | 40.06% |
| Jun 30, 2022 | 40.90% |
| Mar 31, 2022 | 41.08% |
| Dec 31, 2021 | 165.40% |
| Sep 30, 2021 | -0.80% |
Fortune Brands Innovations Gross Margin 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=gross-margin&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();