Fortune Brands Innovations (FBIN) Long-Term Debt Repayments (2012 - 2026)
Fortune Brands Innovations (FBIN) recorded Long-Term Debt Repayments of $430.9 million in Q2 2026, down 29.0% from $607.3 million a year earlier but up 49.9% from the prior quarter.
Fortune Brands Innovations (FBIN) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
On a TTM basis, Fortune Brands Innovations' Long-Term Debt Repayments came in at $1.52 billion as of Jun 27, 2026, up 17.7% year-over-year; for FY2025, it came in at $1.55 billion, up 69.3% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $915 million in FY2024 (+94.7%), $470 million in FY2023 (-91.6%), $5.61 billion in FY2022 (+271.7%) and $1.51 billion in FY2021 (+3.1%).
- Quarterly Long-Term Debt Repayments has ranged from $90 million in Q1 2024 to $1.81 billion in Q1 2022 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in six of the last eight quarters, with growth averaging 57.8%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 597.7% in Q1 2022, against a decline of 86.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $287.5 million (Q1 2026), $367.8 million (Q4 2025) and $434.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.93 Bn | 96.65 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 90.06 Bn | 87.79 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 50.60 Bn | 45.85 Bn | 844.23 Mn | 3.95 Mn |
| 4 | Carrier Global | 46.17 Bn | 40.48 Bn | 1.94 Bn | 41.00 Mn |
| 5 | Otis Worldwide | 27.56 Bn | 23.98 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 792.30 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | - |
| 8 | Carlisle Companies | 13.60 Bn | 9.95 Bn | 568.40 Mn | - |
| 9 | Allegion | 13.43 Bn | 12.14 Bn | 517.50 Mn | - |
| 10 | Fortune Brands Innovations | 4.87 Bn | 3.95 Bn | 590.70 Mn | 430.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 430.90 Mn |
| Mar 28, 2026 | 287.50 Mn |
| Dec 27, 2025 | 367.80 Mn |
| Sep 27, 2025 | 434.40 Mn |
| Jun 28, 2025 | 607.30 Mn |
| Mar 29, 2025 | 140.00 Mn |
| Dec 28, 2024 | 280.00 Mn |
| Sep 28, 2024 | 265.00 Mn |
| Jun 29, 2024 | 280.00 Mn |
| Mar 30, 2024 | 90.00 Mn |
| Dec 30, 2023 | 360.00 Mn |
| Sep 30, 2023 | 110.00 Mn |
| Dec 31, 2022 | 1.72 Bn |
| Sep 30, 2022 | 822.60 Mn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.81 Bn |
| Dec 31, 2021 | 740.00 Mn |
| Sep 30, 2021 | 270.00 Mn |
| Jun 30, 2021 | 240.00 Mn |
| Mar 31, 2021 | 260.00 Mn |
Fortune Brands Innovations Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();