Restaurant Brands International (QSR) Retained Earnings (2013 - 2026)
Restaurant Brands International (QSR) reported Retained Earnings of $2.18 billion for Q2 2026, up 21.5% from $1.79 billion a year earlier and up 14.5% from the prior quarter.
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Analysis
Restaurant Brands International (QSR) Retained Earnings (2013 - 2026) Analysis & Trends
At the end of FY2025, Restaurant Brands International posted Retained Earnings of $1.8 billion, down 3.5% from FY2024.
- Retained Earnings has a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- By year, Retained Earnings came in at $1.86 billion in FY2024 (+16.3%), $1.6 billion in FY2023 (+42.6%), $1.12 billion in FY2022 (+41.7%) and $791 million in FY2021 (+27.2%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2013.
- Year over year, Retained Earnings gained in seven of the last eight quarters, with growth averaging 12.6%.
- The high point for year-over-year Retained Earnings in five years was Q2 2024 (growth of 44.7%); the low point was Q4 2025 (a decline of 3.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.9 billion (Q1 2026), $1.8 billion (Q4 2025) and $1.9 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | -8.54 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -6.81 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | -67.16 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.18 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -259.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 1.70 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.56 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | -348.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.18 Bn |
| Mar 31, 2026 | 1.90 Bn |
| Dec 31, 2025 | 1.80 Bn |
| Sep 30, 2025 | 1.90 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.81 Bn |
| Dec 31, 2024 | 1.86 Bn |
| Sep 30, 2024 | 1.79 Bn |
| Jun 30, 2024 | 1.73 Bn |
| Mar 31, 2024 | 1.64 Bn |
| Dec 31, 2023 | 1.60 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 1.20 Bn |
| Mar 31, 2023 | 1.13 Bn |
| Dec 31, 2022 | 1.12 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 871.00 Mn |
| Mar 31, 2022 | 804.00 Mn |
| Dec 31, 2021 | 791.00 Mn |
| Sep 30, 2021 | 779.00 Mn |
API Access
Restaurant Brands International Retained Earnings 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=retained-earnings&ticker=QSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();