Restaurant Brands International Limited Partnership (RSTRF) Cash & Equivalents (2013 - 2026)
Restaurant Brands International Limited Partnership's Cash & Equivalents was $1.06 billion in Q2 2026, up 3.6% from $1.03 billion a year earlier and up 5.0% from the prior quarter.
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Analysis
Restaurant Brands International Limited Partnership (RSTRF) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Restaurant Brands International Limited Partnership came in at $1.16 billion, down 12.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $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%).
- Quarterly Cash & Equivalents has moved between $838 million (Q2 2022) and $1.77 billion (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 0.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2023 (growth of 44.7%); the worst was Q2 2022 (a decline of 52.4%).
- Per Business Quant data, RSTRF's Cash & Equivalents in the three quarters before Q2 2026 was $1.01 billion (Q1 2026), $1.16 billion (Q4 2025) and $1.21 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 202.43 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 327.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.77 Bn |
API Access
Restaurant Brands International Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "RSTRF", "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=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();