Fortune Brands Innovations (FBIN) Operating Leases (2019 - 2026)
Fortune Brands Innovations (FBIN) recorded Operating Leases of $248.4 million in Q2 2026, up 35.5% from $183.3 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Fortune Brands Innovations (FBIN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Fortune Brands Innovations reported Operating Leases of $243.8 million, up 100.5% from FY2024.
- Annual Operating Leases has a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $121.6 million in FY2024 (-15.1%), $143.3 million in FY2023 (+50.2%), $95.4 million in FY2022 (-12.3%) and $108.8 million in FY2021 (-22.6%).
- Quarterly Operating Leases has ranged from $89 million in Q2 2023 to $249.2 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Leases has increased for five consecutive quarters, with growth averaging 41.8% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 115.0% in Q1 2026, against a decline of 40.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $249.2 million (Q1 2026), $243.8 million (Q4 2025) and $179.6 million (Q3 2025).
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 |
|---|---|
| Jun 27, 2026 | 248.40 Mn |
| Mar 28, 2026 | 249.20 Mn |
| Dec 27, 2025 | 243.80 Mn |
| Sep 27, 2025 | 179.60 Mn |
| Jun 28, 2025 | 183.30 Mn |
| Mar 29, 2025 | 115.90 Mn |
| Dec 28, 2024 | 121.60 Mn |
| Sep 28, 2024 | 127.80 Mn |
| Jun 29, 2024 | 134.30 Mn |
| Mar 30, 2024 | 140.50 Mn |
| Dec 30, 2023 | 143.30 Mn |
| Sep 30, 2023 | 92.10 Mn |
| Jul 1, 2023 | 89.00 Mn |
| Apr 1, 2023 | 90.00 Mn |
| Dec 31, 2022 | 95.40 Mn |
| Sep 30, 2022 | 142.40 Mn |
| Jun 30, 2022 | 149.80 Mn |
| Mar 31, 2022 | 151.10 Mn |
| Dec 31, 2021 | 108.80 Mn |
| Sep 30, 2021 | 166.90 Mn |
API Access
Fortune Brands Innovations Operating Leases 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=operating-leases&ticker=FBIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();