Restaurant Brands International (QSR) Cash & Equivalents Growth (3y) (2016 - 2026)
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Analysis
Restaurant Brands International (QSR) Cash & Equivalents Growth (3y) (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. Growth (3y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | -20.33% |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 0.91% |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | -23.26% |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 0.75% |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | -4.30% |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | -15.81% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | -4.30% |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | -25.84% |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 23.55% |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | -0.32% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.30% |
| Mar 31, 2026 | -0.68% |
| Dec 31, 2025 | -0.43% |
| Sep 30, 2025 | 8.43% |
| Jun 30, 2025 | 6.98% |
| Mar 31, 2025 | 0.15% |
| Dec 31, 2024 | 7.06% |
| Sep 30, 2024 | -12.79% |
| Jun 30, 2024 | -18.84% |
| Mar 31, 2024 | -12.45% |
| Dec 31, 2023 | -9.95% |
| Sep 30, 2023 | -11.95% |
| Jun 30, 2023 | -7.65% |
| Mar 31, 2023 | -25.50% |
| Dec 31, 2022 | -8.41% |
| Sep 30, 2022 | -18.26% |
| Jun 30, 2022 | -6.58% |
| Mar 31, 2022 | -0.26% |
| Dec 31, 2021 | 5.99% |
| Sep 30, 2021 | 15.74% |
API Access
Restaurant Brands International Cash & Equivalents Growth (3y) 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-growth-3y&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-growth-3y", "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-growth-3y&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();