Fortune Brands Innovations (FBIN) Cost of Revenue (2010 - 2026)
Fortune Brands Innovations' Cost of Revenue came in at $563.2 million for Q2 2026, down 14.7% from $660.1 million a year earlier and down 2.2% from the prior quarter.
Fortune Brands Innovations (FBIN) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Fortune Brands Innovations reported Cost of Revenue of $2.37 billion, down 3.5% year-over-year; for FY2025, it came in at $2.47 billion, down 2.7% from FY2024.
- Cost of Revenue has declined in each of the last four years, though with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $2.54 billion in FY2024 (-6.3%), $2.71 billion in FY2023 (-2.7%), $2.79 billion in FY2022 (-1.8%) and $2.84 billion in FY2021 (+31.7%).
- The Q2 2026 figure represents the lowest quarterly Cost of Revenue since Q4 2021.
- Year-over-year, Cost of Revenue increased in two of the last eight quarters, with an average decline of 6.2%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2021 (growth of 19.5%), and the weakest in Q3 2022 (a decline of 44.0%).
- Business Quant data shows FBIN's Cost of Revenue at $575.6 million (Q1 2026), $605.3 million (Q4 2025) and $629.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 4.09 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 2.42 Bn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 4.41 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 2.72 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 925.90 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 1.12 Bn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 634.00 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 1.00 Bn |
| 10 | Fortune Brands Innovations | 4.60 Bn | 3.68 Bn | 590.70 Mn | 563.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 563.20 Mn |
| Mar 28, 2026 | 575.60 Mn |
| Dec 27, 2025 | 605.30 Mn |
| Sep 27, 2025 | 629.80 Mn |
| Jun 28, 2025 | 660.10 Mn |
| Mar 29, 2025 | 578.40 Mn |
| Dec 28, 2024 | 596.30 Mn |
| Sep 28, 2024 | 625.50 Mn |
| Jun 29, 2024 | 699.00 Mn |
| Mar 30, 2024 | 622.00 Mn |
| Dec 30, 2023 | 666.40 Mn |
| Sep 30, 2023 | 721.10 Mn |
| Jul 1, 2023 | 695.60 Mn |
| Apr 1, 2023 | 631.70 Mn |
| Dec 31, 2022 | 659.60 Mn |
| Sep 30, 2022 | 716.60 Mn |
| Jun 30, 2022 | 742.00 Mn |
| Mar 31, 2022 | 671.80 Mn |
| Dec 31, 2021 | -796.60 Mn |
| Sep 30, 2021 | 1.28 Bn |
Fortune Brands Innovations Cost of Revenue 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=cost-of-revenue&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();