Starbucks (SBUX) EV to FCF (2009 - 2026)
Starbucks' (SBUX) quarterly EV to FCF came in at 85.63 in Q2 2026, down 62.89% year-over-year from 230.72 in Q2 2025, and down 91.92% quarter-over-quarter from 1059.31 in Q1 2026.
Starbucks (SBUX) EV to FCF (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported EV to FCF for 18 consecutive years, with 85.63 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to FCF fell 62.89% year-over-year to 85.63 in Q2 2026; TTM through Jun 2026 was 31.75, a 28.59% decrease from a year earlier, with the FY2025 full-year figure at 37.41, up 16.19% from the prior year.
- EV to FCF was 85.63 for Q2 2026 at Starbucks, down from 1059.31 in the prior quarter.
- Over five years, EV to FCF peaked at 1059.31 in Q1 2026 and troughed at 655.77 in Q1 2024.
- A 5-year average of 57.35 and a median of 85.63 in 2026 frame the typical range for EV to FCF.
- Across the five-year window, EV to FCF slumped 2411.05% in 2024 and soared 391.36% in 2026, its largest moves.
- Over 5 years, EV to FCF stood at 168.92 in 2022, then tumbled by 65.13% to 58.91 in 2023, then rose by 24.12% to 73.12 in 2024, then rose by 0.2% to 73.27 in 2025, then grew by 16.87% to 85.63 in 2026.
- The last three EV to FCF figures came in at 85.63 (Q2 2026), 1059.31 (Q1 2026), and 73.27 (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 | 85.63 |
| Mar 29, 2026 | 1,059.31 |
| Dec 28, 2025 | 73.27 |
| Sep 28, 2025 | 98.67 |
| Jun 29, 2025 | 230.72 |
| Mar 30, 2025 | -363.58 |
| Dec 29, 2024 | 73.12 |
| Sep 29, 2024 | 144.86 |
| Jun 30, 2024 | 89.70 |
| Mar 31, 2024 | -655.77 |
| Dec 31, 2023 | 58.91 |
| Oct 1, 2023 | 80.56 |
| Jul 2, 2023 | 18.96 |
| Apr 2, 2023 | -26.12 |
| Jan 1, 2023 | 102.85 |
| Oct 2, 2022 | 168.92 |
| Jul 3, 2022 | 104.24 |
| Apr 3, 2022 | -344.27 |
| Jan 2, 2022 | 89.75 |
| Oct 3, 2021 | 122.19 |
Starbucks EV to FCF 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-fcf&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();