Fortune Brands Innovations (FBIN) Buildings (2011 - 2025)
Fortune Brands Innovations' Buildings came in at $329.2 million for Q4 2025, down 0.8% from $332 million a year earlier.
Analysis
Fortune Brands Innovations (FBIN) Buildings (2011 - 2025) Analysis & Trends
Going back to Q4 2011, Fortune Brands Innovations' Buildings data covers 15 quarters.
- Buildings carries a five-year compound annual growth rate of -9.8% (FY2020 to FY2025).
- Going back by year, Buildings was $332 million in FY2024 (+3.7%), $320.3 million in FY2023 (+12.3%), $285.1 million in FY2022 (+5.2%) and $270.9 million in FY2021 (-51.0%).
- The Q4 2025 figure represents the lowest quarterly Buildings since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Fortune Brands Innovations | 4.59 Bn | 3.67 Bn | 590.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 329.20 Mn |
| Dec 28, 2024 | 332.00 Mn |
| Dec 30, 2023 | 320.30 Mn |
| Dec 31, 2022 | 285.10 Mn |
| Dec 31, 2021 | 270.90 Mn |
| Dec 31, 2020 | 552.40 Mn |
| Dec 31, 2019 | 510.20 Mn |
| Dec 31, 2018 | 500.10 Mn |
| Dec 31, 2017 | 464.10 Mn |
| Dec 31, 2016 | 429.40 Mn |
| Dec 31, 2015 | 407.60 Mn |
| Dec 31, 2014 | 356.30 Mn |
| Dec 31, 2013 | 337.50 Mn |
| Dec 31, 2012 | 324.50 Mn |
| Dec 31, 2011 | 328.20 Mn |
API Access
Fortune Brands Innovations Buildings 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=buildings&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();