Fortune Brands Innovations (FBIN) Other Accumulated Expenses (2010 - 2026)
Fortune Brands Innovations (FBIN) posted Other Accumulated Expenses of $511.6 million for Q2 2026, up 2.6% from $498.6 million a year earlier and up 15.8% from the prior quarter.
Fortune Brands Innovations (FBIN) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Fortune Brands Innovations' Other Accumulated Expenses came in at $547 million, down 7.1% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior years, Fortune Brands Innovations' Other Accumulated Expenses was $588.8 million in FY2024 (-6.9%), $632.3 million in FY2023 (+20.7%), $523.9 million in FY2022 (-19.0%) and $646.4 million in FY2021 (-10.8%).
- Quarterly Other Accumulated Expenses has run from a low of $390 million in Q1 2023 to a high of $793.1 million in Q3 2021 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 5.0%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2021, with growth of 34.2%; the weakest was Q1 2023, with a decline of 37.8%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $441.7 million (Q1 2026), $547 million (Q4 2025) and $507.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn |
| 10 | Fortune Brands Innovations | 4.60 Bn | 3.68 Bn | 590.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 511.60 Mn |
| Mar 28, 2026 | 441.70 Mn |
| Dec 27, 2025 | 547.00 Mn |
| Sep 27, 2025 | 507.60 Mn |
| Jun 28, 2025 | 498.60 Mn |
| Mar 29, 2025 | 442.40 Mn |
| Dec 28, 2024 | 588.80 Mn |
| Sep 28, 2024 | 539.40 Mn |
| Jun 29, 2024 | 494.30 Mn |
| Mar 30, 2024 | 491.10 Mn |
| Dec 30, 2023 | 632.30 Mn |
| Sep 30, 2023 | 621.70 Mn |
| Jul 1, 2023 | 551.40 Mn |
| Apr 1, 2023 | 390.00 Mn |
| Dec 31, 2022 | 523.90 Mn |
| Sep 30, 2022 | 775.00 Mn |
| Jun 30, 2022 | 685.20 Mn |
| Mar 31, 2022 | 626.70 Mn |
| Dec 31, 2021 | 646.40 Mn |
| Sep 30, 2021 | 793.10 Mn |
Fortune Brands Innovations Other Accumulated 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=other-accumulated-expenses&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();