Restaurant Brands International (QSR) Long-Term Debt Repayments (2014 - 2026)
Restaurant Brands International (QSR) reported Long-Term Debt Repayments of $29 million for Q3 2026, down 78.0% from $132 million a year earlier and unchanged from the prior quarter.
Restaurant Brands International (QSR) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Restaurant Brands International's Long-Term Debt Repayments came in at $315 million, up 40.6% year-over-year; for FY2025, it came in at $427 million, down 80.5% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -38.1% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $2.19 billion in FY2024, $92 million in FY2023 (-2.1%), $94 million in FY2022 (-89.4%) and $889 million in FY2021 (-81.1%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $11 million in Q3 2023 and a high of $1.62 billion in Q2 2024.
- Year over year, Long-Term Debt Repayments has now declined in each of the last three quarters, with growth averaging 80.0% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2025 (growth of 780.8%); the low point was Q4 2021 (a decline of 99.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $29 million (Q2 2026), $28 million (Q1 2026) and $229 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | - |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 2.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.00 Mn |
| Jun 30, 2026 | 29.00 Mn |
| Mar 31, 2026 | 28.00 Mn |
| Dec 31, 2025 | 229.00 Mn |
| Sep 30, 2025 | 132.00 Mn |
| Jun 30, 2025 | 33.00 Mn |
| Mar 31, 2025 | 33.00 Mn |
| Dec 31, 2024 | 26.00 Mn |
| Sep 30, 2024 | 525.00 Mn |
| Jun 30, 2024 | 1.62 Bn |
| Mar 31, 2024 | 24.00 Mn |
| Dec 31, 2023 | 13.00 Mn |
| Sep 30, 2023 | 11.00 Mn |
| Jun 30, 2023 | 36.00 Mn |
| Mar 31, 2023 | 32.00 Mn |
| Dec 31, 2022 | 23.00 Mn |
| Sep 30, 2022 | 24.00 Mn |
| Jun 30, 2022 | 26.00 Mn |
| Mar 31, 2022 | 21.00 Mn |
| Dec 31, 2021 | 24.00 Mn |
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "QSR", "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=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();