Starbucks (SBUX) EV to EBIT (2009 - 2026)
Starbucks' (SBUX) quarterly EV to EBIT came in at 117.95 in Q2 2026, up 10.13% year-over-year from 107.1 in Q2 2025, and little changed quarter-over-quarter from 117.43 in Q1 2026.
Starbucks (SBUX) EV to EBIT (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported EV to EBIT for 18 consecutive years, with 117.95 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBIT rose 10.13% year-over-year to 117.95 in Q2 2026; TTM through Jun 2026 was 38.84, a 53.69% increase from a year earlier, with the FY2025 full-year figure at 31.11, up 57.5% from the prior year.
- EV to EBIT was 117.95 for Q2 2026 at Starbucks, roughly flat from 117.43 in the prior quarter.
- Over five years, EV to EBIT peaked at 328.35 in Q3 2025 and troughed at 55.91 in Q2 2024.
- A 5-year average of 105.9 and a median of 89.9 in 2024 frame the typical range for EV to EBIT.
- Across the five-year window, EV to EBIT surged 301.71% in 2025 and tumbled 34.69% in 2026, its largest moves.
- Over 5 years, EV to EBIT 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 gained by 12.57% to 117.95 in 2026.
- The last three EV to EBIT figures came in at 117.95 (Q2 2026), 117.43 (Q1 2026), and 104.78 (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 | 117.95 |
| Mar 29, 2026 | 117.43 |
| Dec 28, 2025 | 104.78 |
| Sep 28, 2025 | 328.35 |
| Jun 29, 2025 | 107.10 |
| Mar 30, 2025 | 179.79 |
| 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 |
Starbucks EV to EBIT 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-ebit&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();