Starbucks (SBUX) Price to Sales (2009 - 2026)
Starbucks' (SBUX) quarterly Price to Sales came in at 12.79 in Q2 2026, up 15.52% year-over-year from 11.07 in Q2 2025, and up 23.22% quarter-over-quarter from 10.38 in Q1 2026.
Starbucks (SBUX) Price to Sales (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported Price to Sales for 18 consecutive years, with 12.79 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Sales rose 15.52% year-over-year to 12.79 in Q2 2026; TTM through Jun 2026 was 3.11, a 8.99% increase from a year earlier, with the FY2025 full-year figure at 2.55, down 16.42% from the prior year.
- Price to Sales was 12.79 for Q2 2026 at Starbucks, up from 10.38 in the prior quarter.
- Over five years, Price to Sales peaked at 16.71 in Q1 2022 and troughed at 9.68 in Q2 2024.
- A 5-year average of 11.93 and a median of 11.53 in 2023 frame the typical range for Price to Sales.
- Across the five-year window, Price to Sales sank 37.24% in 2022 and increased 15.52% in 2026, its largest moves.
- Over 5 years, Price to Sales stood at 11.5 in 2022, then climbed by 0.33% to 11.53 in 2023, then slipped by 3.32% to 11.15 in 2024, then fell by 12.32% to 9.78 in 2025, then soared by 30.84% to 12.79 in 2026.
- The last three Price to Sales figures came in at 12.79 (Q2 2026), 10.38 (Q1 2026), and 9.78 (Q4 2025), per Business Quant data.
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
| Date | Value |
|---|---|
| Jun 28, 2026 | 12.79 |
| Mar 29, 2026 | 10.38 |
| Dec 28, 2025 | 9.78 |
| Sep 28, 2025 | 9.91 |
| Jun 29, 2025 | 11.07 |
| Mar 30, 2025 | 12.68 |
| Dec 29, 2024 | 11.15 |
| Sep 29, 2024 | 12.16 |
| Jun 30, 2024 | 9.68 |
| Mar 31, 2024 | 12.09 |
| Dec 31, 2023 | 11.53 |
| Oct 1, 2023 | 11.13 |
| Jul 2, 2023 | 12.38 |
| Apr 2, 2023 | 13.69 |
| Jan 1, 2023 | 13.08 |
| Oct 2, 2022 | 11.50 |
| Jul 3, 2022 | 11.16 |
| Apr 3, 2022 | 13.74 |
| Jan 2, 2022 | 16.71 |
| Oct 3, 2021 | 16.36 |
Starbucks Price to Sales 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-sales&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();