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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 1.90 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 1.35 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 407.00 Mn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 347.14 Mn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 479.00 Mn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 98.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 479.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 299.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 81.47 Mn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 146.18 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();