Starbucks (SBUX) EV to EBITDA (2009 - 2026)
Starbucks' (SBUX) quarterly EV to EBITDA came in at 86.17 in Q2 2026, up 17.23% year-over-year from 73.51 in Q2 2025, and up 5.58% quarter-over-quarter from 81.62 in Q1 2026.
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Starbucks (SBUX) EV to EBITDA (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported EV to EBITDA for 18 consecutive years, with 86.17 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA rose 17.23% year-over-year to 86.17 in Q2 2026; TTM through Jun 2026 was 31.23, a 49.98% increase from a year earlier, with the FY2025 full-year figure at 31.11, up 57.5% from the prior year.
- EV to EBITDA was 86.17 for Q2 2026 at Starbucks, up from 81.62 in the prior quarter.
- Over five years, EV to EBITDA peaked at 328.35 in Q3 2025 and troughed at 55.91 in Q2 2024.
- A 5-year average of 96.69 and a median of 86.17 in 2026 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA retreated 24.84% in 2023 and surged 301.71% in 2025, its largest moves.
- Over 5 years, EV to EBITDA stood at 78.25 in 2022, then dropped by 9.38% to 70.91 in 2023, then climbed by 26.78% to 89.9 in 2024, then grew by 16.56% to 104.78 in 2025, then dropped by 17.76% to 86.17 in 2026.
- The last three EV to EBITDA figures came in at 86.17 (Q2 2026), 81.62 (Q1 2026), and 104.78 (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 | 86.17 |
| Mar 29, 2026 | 81.62 |
| Dec 28, 2025 | 104.78 |
| Sep 28, 2025 | 328.35 |
| Jun 29, 2025 | 73.51 |
| Mar 30, 2025 | 105.95 |
| Dec 29, 2024 | 89.90 |
| Sep 29, 2024 | 81.74 |
| Jun 30, 2024 | 55.91 |
| Mar 31, 2024 | 91.36 |
| Dec 31, 2023 | 70.91 |
| Oct 1, 2023 | 58.81 |
| Jul 2, 2023 | 69.35 |
| Apr 2, 2023 | 87.33 |
| Jan 1, 2023 | 88.35 |
| Oct 2, 2022 | 78.25 |
| Jul 3, 2022 | 67.69 |
| Apr 3, 2022 | 106.38 |
| Jan 2, 2022 | 110.80 |
| Oct 3, 2021 | 85.44 |
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();