Starbucks (SBUX) EV to CFO (2009 - 2026)
Starbucks' (SBUX) quarterly EV to CFO came in at 70.43 in Q2 2026, down 29.59% year-over-year from 100.03 in Q2 2025, and down 73.6% quarter-over-quarter from 266.79 in Q1 2026.
Starbucks (SBUX) EV to CFO (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported EV to CFO for 18 consecutive years, with 70.43 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to CFO fell 29.59% year-over-year to 70.43 in Q2 2026; TTM through Jun 2026 was 23.19, a 13.45% increase from a year earlier, with the FY2025 full-year figure at 19.24, up 9.8% from the prior year.
- EV to CFO was 70.43 for Q2 2026 at Starbucks, down from 266.79 in the prior quarter.
- Over five years, EV to CFO peaked at 623.48 in Q2 2022 and troughed at 29.32 in Q2 2023.
- A 5-year average of 121.05 and a median of 69.49 in 2023 frame the typical range for EV to CFO.
- Across the five-year window, EV to CFO plunged 104.7% in 2023 and soared 776.72% in 2024, its largest moves.
- Over 5 years, EV to CFO stood at 85.07 in 2022, then tumbled by 48.06% to 44.18 in 2023, then increased by 10.15% to 48.67 in 2024, then grew by 20.05% to 58.42 in 2025, then gained by 20.56% to 70.43 in 2026.
- The last three EV to CFO figures came in at 70.43 (Q2 2026), 266.79 (Q1 2026), and 58.42 (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 | 70.43 |
| Mar 29, 2026 | 266.79 |
| Dec 28, 2025 | 58.42 |
| Sep 28, 2025 | 66.11 |
| Jun 29, 2025 | 100.03 |
| Mar 30, 2025 | 370.05 |
| Dec 29, 2024 | 48.67 |
| Sep 29, 2024 | 69.56 |
| Jun 30, 2024 | 50.80 |
| Mar 31, 2024 | 198.42 |
| Dec 31, 2023 | 44.18 |
| Oct 1, 2023 | 51.59 |
| Jul 2, 2023 | 17.10 |
| Apr 2, 2023 | -29.32 |
| Jan 1, 2023 | 69.49 |
| Oct 2, 2022 | 85.07 |
| Jul 3, 2022 | 69.34 |
| Apr 3, 2022 | 623.48 |
| Jan 2, 2022 | 69.75 |
| Oct 3, 2021 | 83.27 |
Starbucks EV to CFO 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-cfo&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();