Starbucks (SBUX) Price to Book (2009 - 2026)
Starbucks' (SBUX) quarterly Price to Book came in at 15.54 in Q2 2026, down 13.95% year-over-year from 18.06 in Q2 2025, and down 32.83% quarter-over-quarter from 11.7 in Q1 2026.
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Analysis
Starbucks (SBUX) Price to Book (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported Price to Book for 18 consecutive years, with 15.54 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book fell 13.95% year-over-year to 15.54 in Q2 2026; TTM through Jun 2026 was 15.54, a 13.95% decrease from a year earlier, with the FY2025 full-year figure at 11.71, up 21.04% from the prior year.
- Price to Book was 15.54 for Q2 2026 at Starbucks, down from 11.7 in the prior quarter.
- Over five years, Price to Book peaked at 39.5 in Q3 2025 and troughed at 15.92 in Q1 2022.
- A 5-year average of 10.3 and a median of 13.06 in 2023 frame the typical range for Price to Book.
- Across the five-year window, Price to Book declined 29.51% in 2023 and jumped 366.37% in 2025, its largest moves.
- Over 5 years, Price to Book stood at 11.12 in 2022, then declined by 13.56% to 12.63 in 2023, then slipped by 11.18% to 14.04 in 2024, then advanced by 17.61% to 11.57 in 2025, then sank by 34.35% to 15.54 in 2026.
- The last three Price to Book figures came in at 15.54 (Q2 2026), 11.7 (Q1 2026), and 11.57 (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 | -15.54 |
| Mar 29, 2026 | -11.70 |
| Dec 28, 2025 | -11.57 |
| Sep 28, 2025 | 39.50 |
| Jun 29, 2025 | -13.64 |
| Mar 30, 2025 | -14.58 |
| Dec 29, 2024 | -14.04 |
| Sep 29, 2024 | -14.83 |
| Jun 30, 2024 | -11.11 |
| Mar 31, 2024 | -12.26 |
| Dec 31, 2023 | -12.63 |
| Oct 1, 2023 | -13.06 |
| Jul 2, 2023 | -13.60 |
| Apr 2, 2023 | -14.05 |
| Jan 1, 2023 | -13.16 |
| Oct 2, 2022 | -11.12 |
| Jul 3, 2022 | -10.50 |
| Apr 3, 2022 | -11.98 |
| Jan 2, 2022 | -15.92 |
| Oct 3, 2021 | -25.07 |
API Access
Starbucks Price to Book 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-book&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();