Starbucks (SBUX) Price to Earnings (2009 - 2026)
Starbucks' Price to Earnings was 42.80 in fiscal Q4 2026 (quarter ended Sep 27, 2026), down 16.2% from 51.07 a year earlier and down 28.8% from the prior quarter.
Starbucks (SBUX) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Price to Earnings at Starbucks came in at 42.68, down 16.4% from FY2025.
- In earlier fiscal years, Price to Earnings was 51.07 in FY2025 (+74.0%), 29.34 in FY2024 (+16.1%), 25.28 in FY2023 (-14.2%) and 29.47 in FY2022 (-7.1%).
- The fiscal Q4 2026 figure marks the lowest quarterly Price to Earnings since fiscal Q3 2025.
- Compared with a year earlier, Price to Earnings was higher in seven of the last eight quarters, with growth averaging 59.6%.
- The best year-over-year quarter for Price to Earnings over five years was fiscal Q1 2026 (growth of 137.7%); the worst was fiscal Q1 2022 (a decline of 83.0%).
- Per Business Quant data, SBUX's Price to Earnings in the three fiscal quarters before Q4 2026 was 60.14 (Q3 2026), 66.15 (Q2 2026) and 70.80 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 60.14 |
| Mar 29, 2026 | 66.15 |
| Dec 28, 2025 | 70.80 |
| Sep 28, 2025 | 51.07 |
| Jun 29, 2025 | 39.77 |
| Mar 30, 2025 | 35.49 |
| Dec 29, 2024 | 29.79 |
| Sep 29, 2024 | 29.34 |
| Jun 30, 2024 | 21.67 |
| Mar 31, 2024 | 24.90 |
| Dec 31, 2023 | 25.32 |
| Oct 1, 2023 | 25.28 |
| Jul 2, 2023 | 29.99 |
| Apr 2, 2023 | 33.58 |
| Jan 1, 2023 | 34.33 |
| Oct 2, 2022 | 29.47 |
| Jul 3, 2022 | 21.82 |
| Apr 3, 2022 | 23.80 |
| Jan 2, 2022 | 30.63 |
| Oct 3, 2021 | 31.73 |
Starbucks Price to 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=price-to-earnings&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-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=price-to-earnings&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();