Fortune Brands Innovations (FBIN) EBITDA Margin (2010 - 2026)
Fortune Brands Innovations (FBIN) recorded EBITDA Margin of 2.91% in Q2 2026, down 15.57 percentage points from 18.48% a year earlier and down 7.20 percentage points from the prior quarter.
Fortune Brands Innovations (FBIN) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Fortune Brands Innovations' EBITDA Margin came in at 10.84% as of Jun 27, 2026, down 7.99 percentage points year-over-year; for FY2025, it was 15.92%, down 4.29 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of -4.27 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 20.21% in FY2024 (+3.27 pp), 16.94% in FY2023 (-3.51 pp), 20.45% in FY2022 (-0.38 pp) and 20.83% in FY2021 (+0.64 pp).
- The Q2 2026 figure is the lowest quarterly EBITDA Margin since Q4 2021.
- On a year-over-year basis, EBITDA Margin has declined for six consecutive quarters, with an average year-over-year change of -3.85 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 18.08 percentage points in Q4 2022, against a drop of 15.57 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.12% (Q1 2026), 15.28% (Q4 2025) and 15.26% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 21.00% |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 17.37% |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 18.41% |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 17.93% |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 15.99% |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 26.21% |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 25.22% |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 25.55% |
| 10 | Fortune Brands Innovations | 4.59 Bn | 3.66 Bn | 590.70 Mn | 2.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.91% |
| Mar 28, 2026 | 10.12% |
| Dec 27, 2025 | 15.28% |
| Sep 27, 2025 | 15.26% |
| Jun 28, 2025 | 18.48% |
| Mar 29, 2025 | 14.35% |
| Dec 28, 2024 | 20.33% |
| Sep 28, 2024 | 21.73% |
| Jun 29, 2024 | 20.52% |
| Mar 30, 2024 | 18.16% |
| Dec 30, 2023 | 16.46% |
| Sep 30, 2023 | 19.18% |
| Jul 1, 2023 | 16.05% |
| Apr 1, 2023 | 15.74% |
| Dec 31, 2022 | 20.45% |
| Sep 30, 2022 | 20.18% |
| Jun 30, 2022 | 21.22% |
| Mar 31, 2022 | 19.88% |
| Dec 31, 2021 | 2.37% |
| Sep 30, 2021 | 26.21% |
Fortune Brands Innovations EBITDA 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=ebitda-margin&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();