Restaurant Brands International (QSR) Cash & Equivalents (2013 - 2026)
Restaurant Brands International (QSR) reported Cash & Equivalents of $974 million for Q3 2026, down 19.2% from $1.21 billion a year earlier and down 8.4% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International posted Cash & Equivalents of $1.16 billion, down 12.8% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $1.33 billion in FY2024 (+17.1%), $1.14 billion in FY2023 (-3.3%), $1.18 billion in FY2022 (+8.4%) and $1.09 billion in FY2021 (-30.3%).
- The Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q1 2025.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with an average decline of 0.2%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2023 (growth of 44.7%); the low point was Q2 2022 (a decline of 52.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.06 billion (Q2 2026), $1.01 billion (Q1 2026) and $1.16 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 634.21 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 202.43 Mn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 229.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 974.00 Mn |
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 1.16 Bn |
| Sep 30, 2025 | 1.21 Bn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 899.00 Mn |
| Dec 31, 2024 | 1.33 Bn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 942.00 Mn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.31 Bn |
| Jun 30, 2023 | 1.21 Bn |
| Mar 31, 2023 | 1.03 Bn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 946.00 Mn |
| Jun 30, 2022 | 838.00 Mn |
| Mar 31, 2022 | 895.00 Mn |
| Dec 31, 2021 | 1.09 Bn |
API Access
Restaurant Brands International Cash & Equivalents 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=cash-and-equivalents&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();