Starbucks (SBUX) EV to EBITDA (2009 - 2026)
Starbucks' (SBUX) EV to EBITDA came in at 24.90 for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 41.2% from 17.63 a year earlier and up 19.3% from the prior quarter.
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Analysis
Starbucks (SBUX) EV to EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EV to EBITDA at Starbucks was 23.01, up 45.8% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at 19.40, up 27.2% from FY2024.
- In prior fiscal years, Starbucks' EV to EBITDA was 15.26 in FY2024 (+11.3%), 13.71 in FY2023 (-9.9%), 15.22 in FY2022 (-23.1%) and 19.80 in FY2021 (-35.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly EV to EBITDA since fiscal Q2 2021.
- On a year-over-year basis, EV to EBITDA has increased in each of the last eight quarters, with growth averaging 28.5% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q3 2025, with growth of 53.3%; the weakest was fiscal Q2 2022, with a decline of 60.1%.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 20.88 (Q2 2026), 20.85 (Q1 2026) and 19.40 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 24.90 |
| Mar 29, 2026 | 20.88 |
| Dec 28, 2025 | 20.85 |
| Sep 28, 2025 | 19.40 |
| Jun 29, 2025 | 17.63 |
| Mar 30, 2025 | 17.36 |
| Dec 29, 2024 | 15.08 |
| Sep 29, 2024 | 15.26 |
| Jun 30, 2024 | 11.50 |
| Mar 31, 2024 | 13.57 |
| Dec 31, 2023 | 13.87 |
| Oct 1, 2023 | 13.71 |
| Jul 2, 2023 | 16.17 |
| Apr 2, 2023 | 17.75 |
| Jan 1, 2023 | 17.92 |
| Oct 2, 2022 | 15.22 |
| Jul 3, 2022 | 13.59 |
| Apr 3, 2022 | 15.23 |
| Jan 2, 2022 | 19.60 |
| Oct 3, 2021 | 19.80 |
API Access
Starbucks EV to EBITDA 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=ev-to-ebitda&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();