Starbucks (SBUX) EPS (Basic) (2009 - 2026)
Starbucks' (SBUX) quarterly EPS (Basic) came in at $0.92 in Q2 2026, up 86.57% year-over-year from $0.49 in Q2 2025, and up 104.53% quarter-over-quarter from $0.45 in Q1 2026.
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Analysis
Starbucks (SBUX) EPS (Basic) (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported EPS (Basic) for 18 consecutive years, with $0.92 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EPS (Basic) rose 86.57% year-over-year to $0.92 in Q2 2026; TTM through Jun 2026 was $1.74, a 24.94% decrease from a year earlier, with the FY2025 full-year figure at $1.63, down 50.75% from the prior year.
- EPS (Basic) was $0.92 for Q2 2026 at Starbucks, up from $0.45 in the prior quarter.
- Over five years, EPS (Basic) peaked at $1.06 in Q4 2023 and troughed at $0.12 in Q3 2025.
- A 5-year average of $0.68 and a median of $0.74 in 2023 frame the typical range for EPS (Basic).
- Across the five-year window, EPS (Basic) plunged 85.38% in 2025 and soared 86.57% in 2026, its largest moves.
- Over 5 years, EPS (Basic) stood at $0.76 in 2022, then increased by 18.31% to $0.9 in 2023, then retreated by 23.64% to $0.69 in 2024, then tumbled by 62.56% to $0.26 in 2025, then soared by 255.88% to $0.92 in 2026.
- The last three EPS (Basic) figures came in at $0.92 (Q2 2026), $0.45 (Q1 2026), and $0.26 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 3.33 |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 0.92 |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 0.32 |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 3.10 |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 1.46 |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 3.51 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 2.92 |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 0.75 |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.86 |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 4.09 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 0.92 |
| Mar 29, 2026 | 0.45 |
| Dec 28, 2025 | 0.26 |
| Sep 28, 2025 | 0.12 |
| Jun 29, 2025 | 0.49 |
| Mar 30, 2025 | 0.34 |
| Dec 29, 2024 | 0.69 |
| Sep 29, 2024 | 0.80 |
| Jun 30, 2024 | 0.93 |
| Mar 31, 2024 | 0.68 |
| Dec 31, 2023 | 0.90 |
| Oct 1, 2023 | 1.06 |
| Jul 2, 2023 | 1.00 |
| Apr 2, 2023 | 0.79 |
| Jan 1, 2023 | 0.74 |
| Oct 2, 2022 | 0.76 |
| Jul 3, 2022 | 0.80 |
| Apr 3, 2022 | 0.59 |
| Jan 2, 2022 | 0.70 |
| Oct 3, 2021 | 1.50 |
API Access
Starbucks EPS (Basic) 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=eps-basic&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();