Starbucks (SBUX) Free Cash Flow (2009 - 2026)
Starbucks' Free Cash Flow was $1.35 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 211.0% from $434.3 million a year earlier.
Starbucks (SBUX) Free Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Starbucks' Free Cash Flow was $3.64 billion through Jun 28, 2026, up 61.6% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $2.44 billion, down 26.4% from FY2024.
- Free Cash Flow shows a five-year compound annual growth rate of 84.5% (FY2020 to FY2025).
- In earlier fiscal years, Free Cash Flow was $3.32 billion in FY2024 (-9.7%), $3.68 billion in FY2023 (+43.8%), $2.56 billion in FY2022 (-43.4%) and $4.52 billion in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Free Cash Flow since fiscal Q1 2025.
- Compared with a year earlier, Free Cash Flow was higher in two of the last six quarters, with growth averaging 18.5%.
- The best year-over-year quarter for Free Cash Flow over five years was fiscal Q3 2023 (growth of 588.5%); the worst was fiscal Q3 2024 (a decline of 83.7%).
- Per Business Quant data, SBUX's Free Cash Flow in the three fiscal quarters before Q3 2026 was $91.8 million (Q2 2026), $1.27 billion (Q1 2026) and $925.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 1.90 Bn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 1.35 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 407.00 Mn |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | 463.38 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | 479.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 98.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 479.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 299.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 81.47 Mn |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.35 Bn |
| Mar 29, 2026 | 91.80 Mn |
| Dec 28, 2025 | 1.27 Bn |
| Sep 28, 2025 | 925.80 Mn |
| Jun 29, 2025 | 434.30 Mn |
| Mar 30, 2025 | -297.20 Mn |
| Dec 29, 2024 | 1.38 Bn |
| Sep 29, 2024 | 737.40 Mn |
| Jun 30, 2024 | 945.80 Mn |
| Mar 31, 2024 | -153.10 Mn |
| Dec 31, 2023 | 1.79 Bn |
| Oct 1, 2023 | 1.25 Bn |
| Jul 2, 2023 | 5.79 Bn |
| Apr 2, 2023 | -4.44 Bn |
| Jan 1, 2023 | 1.08 Bn |
| Oct 2, 2022 | 553.80 Mn |
| Jul 3, 2022 | 841.30 Mn |
| Apr 3, 2022 | -293.20 Mn |
| Jan 2, 2022 | 1.45 Bn |
| Oct 3, 2021 | 1.04 Bn |
Starbucks Free Cash Flow 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=free-cash-flow&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();