Fortune Brands Innovations (FBIN) Retained Earnings (2010 - 2026)
Fortune Brands Innovations (FBIN) reported Retained Earnings of $3.11 billion for Q2 2026, up 0.9% from $3.08 billion a year earlier but down 1.7% from the prior quarter.
Fortune Brands Innovations (FBIN) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Fortune Brands Innovations posted Retained Earnings of $3.14 billion, up 6.0% from FY2024.
- Retained Earnings has increased for three consecutive years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- By year, Retained Earnings came in at $2.96 billion in FY2024 (+13.5%), $2.61 billion in FY2023 (+12.1%), $2.32 billion in FY2022 (-17.2%) and $2.81 billion in FY2021 (+28.8%).
- Five-year quarterly Retained Earnings spans a low of $2.32 billion in Q4 2022 and a high of $3.28 billion in Q3 2022.
- Year over year, Retained Earnings has now increased in each of the last 11 quarters, with growth averaging 8.4% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was Q3 2021 (growth of 30.1%); the low point was Q3 2023 (a decline of 22.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.16 billion (Q1 2026), $3.14 billion (Q4 2025) and $3.12 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 10.53 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 | 3.34 Bn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 12.54 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | -117.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 1.93 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | -849.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.35 Bn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 7.63 Bn |
| 10 | Fortune Brands Innovations | 4.59 Bn | 3.67 Bn | 590.70 Mn | 3.11 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.11 Bn |
| Mar 28, 2026 | 3.16 Bn |
| Dec 27, 2025 | 3.14 Bn |
| Sep 27, 2025 | 3.12 Bn |
| Jun 28, 2025 | 3.08 Bn |
| Mar 29, 2025 | 3.01 Bn |
| Dec 28, 2024 | 2.96 Bn |
| Sep 28, 2024 | 2.88 Bn |
| Jun 29, 2024 | 2.81 Bn |
| Mar 30, 2024 | 2.70 Bn |
| Dec 30, 2023 | 2.61 Bn |
| Sep 30, 2023 | 2.55 Bn |
| Jul 1, 2023 | 2.48 Bn |
| Apr 1, 2023 | 2.40 Bn |
| Dec 31, 2022 | 2.32 Bn |
| Sep 30, 2022 | 3.28 Bn |
| Jun 30, 2022 | 3.15 Bn |
| Mar 31, 2022 | 2.99 Bn |
| Dec 31, 2021 | 2.81 Bn |
| Sep 30, 2021 | 2.67 Bn |
Fortune Brands Innovations Retained Earnings 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=retained-earnings&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();