Starbucks (SBUX) Retained Earnings (2009 - 2026)
Powered by 
Analysis
Starbucks (SBUX) Retained Earnings (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | -8.54 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | -6.81 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 154.47 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 2.49 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | -259.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 1.70 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.56 Bn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | -3.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -8.54 Bn |
| Mar 29, 2026 | -8.88 Bn |
| Dec 28, 2025 | -8.69 Bn |
| Sep 28, 2025 | -8.27 Bn |
| Jun 29, 2025 | -7.70 Bn |
| Mar 30, 2025 | -7.57 Bn |
| Dec 29, 2024 | -7.26 Bn |
| Sep 29, 2024 | -7.34 Bn |
| Jun 30, 2024 | -7.56 Bn |
| Mar 31, 2024 | -7.97 Bn |
| Dec 31, 2023 | -8.10 Bn |
| Oct 1, 2023 | -7.26 Bn |
| Jul 2, 2023 | -7.61 Bn |
| Apr 2, 2023 | -8.02 Bn |
| Jan 1, 2023 | -8.20 Bn |
| Oct 2, 2022 | -8.45 Bn |
| Jul 3, 2022 | -8.72 Bn |
| Apr 3, 2022 | -9.07 Bn |
| Jan 2, 2022 | -8.75 Bn |
| Oct 3, 2021 | -6.32 Bn |
API Access
Starbucks 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=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SBUX", "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=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();