Starbucks (SBUX) EPS (Diluted) (2009 - 2026)
Starbucks' EPS (Diluted) was $0.91 in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 86.6% from $0.49 a year earlier and up 104.5% from the prior quarter.
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Analysis
Starbucks (SBUX) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Starbucks' EPS (Diluted) was $1.73 through Jun 28, 2026, down 24.9% year-over-year; for FY2025 (ended Sep 28, 2025), it was $1.63, down 50.7% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- In earlier fiscal years, EPS (Diluted) was $3.31 in FY2024 (-7.7%), $3.58 in FY2023 (+26.5%), $2.83 in FY2022 (-20.0%) and $3.54 in FY2021 (+351.0%).
- The fiscal Q3 2026 figure marks the highest quarterly EPS (Diluted) since fiscal Q3 2024.
- Compared with a year earlier, EPS (Diluted) was higher in two of the last eight quarters, with an average decline of 21.8%.
- The best year-over-year quarter for EPS (Diluted) over five years was fiscal Q4 2021 (growth of 348.0%); the worst was fiscal Q4 2025 (a decline of 85.4%).
- Per Business Quant data, SBUX's EPS (Diluted) in the three fiscal quarters before Q3 2026 was $0.45 (Q2 2026), $0.26 (Q1 2026) and $0.12 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.79 Bn | 166.61 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 109.56 Bn | 97.18 Bn | - | 0.91 |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn | 3.08 |
| 4 | Chipotle Mexican Grill | 39.19 Bn | 35.17 Bn | - | 0.32 |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | 1.10 |
| 6 | Darden Restaurants | 24.34 Bn | 23.44 Bn | 1.68 Bn | 2.04 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.98 |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 11.20 Bn | 10.54 Bn | - | 1.85 |
| 10 | Luckin Coffee | 10.70 Bn | 9.79 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 0.91 |
| 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 | 0.99 |
| Apr 2, 2023 | 0.79 |
| Jan 1, 2023 | 0.74 |
| Oct 2, 2022 | 0.76 |
| Jul 3, 2022 | 0.79 |
| Apr 3, 2022 | 0.58 |
| Jan 2, 2022 | 0.69 |
| Oct 3, 2021 | 1.49 |
API Access
Starbucks EPS (Diluted) 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-diluted&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();