Fortune Brands Innovations (FBIN) Operating Expenses (2010 - 2026)
Fortune Brands Innovations' Operating Expenses was $351.9 million in Q2 2026, down 0.2% from $352.5 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Fortune Brands Innovations (FBIN) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fortune Brands Innovations' Operating Expenses was $1.36 billion through Jun 27, 2026, up 3.9% year-over-year; for FY2025, it was $1.34 billion, up 7.1% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.26 billion in FY2024 (+4.5%), $1.2 billion in FY2023 (+8.2%), $1.11 billion in FY2022 (+0.7%) and $1.1 billion in FY2021 (+28.4%).
- Quarterly Operating Expenses has moved between -$74.8 million (Q4 2021) and $403.8 million (Q3 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 3.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 22.4%); the worst was Q3 2022 (a decline of 32.2%).
- Per Business Quant data, FBIN's Operating Expenses in the three quarters before Q2 2026 was $357 million (Q1 2026), $328.2 million (Q4 2025) and $324 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Fortune Brands Innovations | 4.59 Bn | 3.67 Bn | 590.70 Mn | 351.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 351.90 Mn |
| Mar 28, 2026 | 357.00 Mn |
| Dec 27, 2025 | 328.20 Mn |
| Sep 27, 2025 | 324.00 Mn |
| Jun 28, 2025 | 352.50 Mn |
| Mar 29, 2025 | 339.70 Mn |
| Dec 28, 2024 | 311.70 Mn |
| Sep 28, 2024 | 305.60 Mn |
| Jun 29, 2024 | 323.60 Mn |
| Mar 30, 2024 | 314.40 Mn |
| Dec 30, 2023 | 309.40 Mn |
| Sep 30, 2023 | 324.80 Mn |
| Jul 1, 2023 | 302.90 Mn |
| Apr 1, 2023 | 263.90 Mn |
| Dec 31, 2022 | 277.40 Mn |
| Sep 30, 2022 | 273.70 Mn |
| Jun 30, 2022 | 282.30 Mn |
| Mar 31, 2022 | 277.00 Mn |
| Dec 31, 2021 | -74.80 Mn |
| Sep 30, 2021 | 403.80 Mn |
API Access
Fortune Brands Innovations Operating Expenses 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=operating-expenses&ticker=FBIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();