Fortune Brands Innovations (FBIN) Total Liabilities (2010 - 2026)
Fortune Brands Innovations' Total Liabilities came in at $4.03 billion for Q2 2026, down 5.2% from $4.26 billion a year earlier and down 3.7% from the prior quarter.
Fortune Brands Innovations (FBIN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Fortune Brands Innovations' Total Liabilities was $4.13 billion, down 0.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $4.14 billion in FY2024 (-3.1%), $4.27 billion in FY2023 (+5.9%), $4.03 billion in FY2022 (+69.4%) and $2.38 billion in FY2021 (-48.0%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q1 2023.
- Year-over-year, Total Liabilities has declined for nine consecutive quarters, with an average decline of 3.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 69.4%), and the weakest in Q4 2021 (a decline of 48.0%).
- Business Quant data shows FBIN's Total Liabilities at $4.19 billion (Q1 2026), $4.13 billion (Q4 2025) and $4.14 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 15.28 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 5.27 Bn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 23.90 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 16.90 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 6.95 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 5.77 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 3.24 Bn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 4.62 Bn |
| 10 | Fortune Brands Innovations | 4.59 Bn | 3.67 Bn | 590.70 Mn | 4.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.03 Bn |
| Mar 28, 2026 | 4.19 Bn |
| Dec 27, 2025 | 4.13 Bn |
| Sep 27, 2025 | 4.14 Bn |
| Jun 28, 2025 | 4.26 Bn |
| Mar 29, 2025 | 4.28 Bn |
| Dec 28, 2024 | 4.14 Bn |
| Sep 28, 2024 | 4.20 Bn |
| Jun 29, 2024 | 4.34 Bn |
| Mar 30, 2024 | 4.51 Bn |
| Dec 30, 2023 | 4.27 Bn |
| Sep 30, 2023 | 4.40 Bn |
| Jul 1, 2023 | 4.70 Bn |
| Apr 1, 2023 | 3.89 Bn |
| Dec 31, 2022 | 4.03 Bn |
| Sep 30, 2022 | 5.39 Bn |
| Jun 30, 2022 | 5.38 Bn |
| Mar 31, 2022 | 5.33 Bn |
| Dec 31, 2021 | 2.38 Bn |
| Sep 30, 2021 | 4.81 Bn |
Fortune Brands Innovations Total Liabilities 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=total-liabilities&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();