Fortune Brands Innovations (FBIN) EBITDA (2010 - 2026)
Fortune Brands Innovations' EBITDA was $33.6 million in Q2 2026, down 84.9% from $222.4 million a year earlier and down 67.2% from the prior quarter.
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Analysis
Fortune Brands Innovations (FBIN) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fortune Brands Innovations' EBITDA was $475.9 million through Jun 27, 2026, down 43.8% year-over-year; for FY2025, it came in at $710.5 million, down 23.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $931.5 million in FY2024 (+18.9%), $783.7 million in FY2023 (-18.9%), $965.9 million in FY2022 (-3.4%) and $1 billion in FY2021 (+36.8%).
- The Q2 2026 figure marks the lowest quarterly EBITDA since Q4 2021.
- Compared with a year earlier, EBITDA has declined for six straight quarters, with an average decline of 23.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2022 (growth of 701.0%); the worst was Q4 2021 (a decline of 89.7%).
- Per Business Quant data, FBIN's EBITDA in the three quarters before Q2 2026 was $102.3 million (Q1 2026), $164.6 million (Q4 2025) and $175.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Fortune Brands Innovations | 4.59 Bn | 3.67 Bn | 590.70 Mn | 33.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 33.60 Mn |
| Mar 28, 2026 | 102.30 Mn |
| Dec 27, 2025 | 164.60 Mn |
| Sep 27, 2025 | 175.40 Mn |
| Jun 28, 2025 | 222.40 Mn |
| Mar 29, 2025 | 148.30 Mn |
| Dec 28, 2024 | 224.50 Mn |
| Sep 28, 2024 | 251.00 Mn |
| Jun 29, 2024 | 254.50 Mn |
| Mar 30, 2024 | 201.50 Mn |
| Dec 30, 2023 | 191.20 Mn |
| Sep 30, 2023 | 241.90 Mn |
| Jul 1, 2023 | 186.80 Mn |
| Apr 1, 2023 | 163.70 Mn |
| Dec 31, 2022 | 231.50 Mn |
| Sep 30, 2022 | 241.30 Mn |
| Jun 30, 2022 | 266.40 Mn |
| Mar 31, 2022 | 226.70 Mn |
| Dec 31, 2021 | 28.90 Mn |
| Sep 30, 2021 | 332.80 Mn |
API Access
Fortune Brands Innovations EBITDA 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&ticker=FBIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();