Starbucks (SBUX) Price to Earnings (2009 - 2026)
Starbucks' (SBUX) quarterly Price to Earnings came in at 114.12 in Q2 2026, down 39.13% year-over-year from 187.47 in Q2 2025, and down 41.08% quarter-over-quarter from 193.69 in Q1 2026.
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Analysis
Starbucks (SBUX) Price to Earnings (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported Price to Earnings for 18 consecutive years, with 114.12 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 39.13% year-over-year to 114.12 in Q2 2026; TTM through Jun 2026 was 60.16, a 51.3% increase from a year earlier, with the FY2025 full-year figure at 51.06, up 74.08% from the prior year.
- Price to Earnings was 114.12 for Q2 2026 at Starbucks, down from 193.69 in the prior quarter.
- Over five years, Price to Earnings peaked at 711.76 in Q3 2025 and troughed at 83.57 in Q2 2024.
- A 5-year average of 178.19 and a median of 133.31 in 2023 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings jumped 486.65% in 2025 and tumbled 39.13% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 110.09 in 2022, then slipped by 3.61% to 106.11 in 2023, then advanced by 26.46% to 134.19 in 2024, then surged by 146.37% to 330.6 in 2025, then plunged by 65.48% to 114.12 in 2026.
- The last three Price to Earnings figures came in at 114.12 (Q2 2026), 193.69 (Q1 2026), and 330.6 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 114.12 |
| Mar 29, 2026 | 193.69 |
| Dec 28, 2025 | 330.60 |
| Sep 28, 2025 | 711.76 |
| Jun 29, 2025 | 187.47 |
| Mar 30, 2025 | 289.14 |
| Dec 29, 2024 | 134.19 |
| Sep 29, 2024 | 121.33 |
| Jun 30, 2024 | 83.57 |
| Mar 31, 2024 | 134.00 |
| Dec 31, 2023 | 106.11 |
| Oct 1, 2023 | 85.53 |
| Jul 2, 2023 | 99.36 |
| Apr 2, 2023 | 131.43 |
| Jan 1, 2023 | 133.31 |
| Oct 2, 2022 | 110.09 |
| Jul 3, 2022 | 99.53 |
| Apr 3, 2022 | 155.45 |
| Jan 2, 2022 | 164.87 |
| Oct 3, 2021 | 75.51 |
API Access
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_KEYimport 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();