Restaurant Brands International (QSR) Total Liabilities (2013 - 2026)
Restaurant Brands International (QSR) posted Total Liabilities of $19.74 billion for Q3 2026, down 3.8% from $20.5 billion a year earlier but up 0.6% from the prior quarter.
Restaurant Brands International (QSR) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International's Total Liabilities came in at $20.46 billion, up 3.4% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Total Liabilities was $19.79 billion in FY2024 (+6.0%), $18.66 billion in FY2023 (+1.0%), $18.48 billion in FY2022 (-4.7%) and $19.39 billion in FY2021 (+1.8%).
- Quarterly Total Liabilities has run from a low of $18.22 billion in Q1 2023 to a high of $20.6 billion in Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 9.5%; the weakest was Q1 2023, with a decline of 5.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $19.63 billion (Q2 2026), $19.59 billion (Q1 2026) and $20.46 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 6.98 Bn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 19.74 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 19.74 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 2.09 Bn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 5.72 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.74 Bn |
| Jun 30, 2026 | 19.63 Bn |
| Mar 31, 2026 | 19.59 Bn |
| Dec 31, 2025 | 20.46 Bn |
| Sep 30, 2025 | 20.50 Bn |
| Jun 30, 2025 | 20.60 Bn |
| Mar 31, 2025 | 20.06 Bn |
| Dec 31, 2024 | 19.79 Bn |
| Sep 30, 2024 | 20.03 Bn |
| Jun 30, 2024 | 19.90 Bn |
| Mar 31, 2024 | 18.31 Bn |
| Dec 31, 2023 | 18.66 Bn |
| Sep 30, 2023 | 18.41 Bn |
| Jun 30, 2023 | 18.46 Bn |
| Mar 31, 2023 | 18.22 Bn |
| Dec 31, 2022 | 18.48 Bn |
| Sep 30, 2022 | 18.52 Bn |
| Jun 30, 2022 | 18.85 Bn |
| Mar 31, 2022 | 19.21 Bn |
| Dec 31, 2021 | 19.39 Bn |
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();