Starbucks (SBUX) Cash from Operations (2009 - 2026)
Starbucks' Cash from Operations came in at $1.38 billion for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 0.2% from $1.38 billion a year earlier but down 15.7% from the prior quarter.
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Analysis
Starbucks (SBUX) Cash from Operations (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Starbucks' Cash from Operations was $4.99 billion, up 5.1% from FY2025.
- Cash from Operations carries a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- Going back by fiscal year, Cash from Operations was $4.75 billion in FY2025 (-22.1%), $6.1 billion in FY2024 (+1.4%), $6.01 billion in FY2023 (+36.6%) and $4.4 billion in FY2022 (-26.6%).
- The five-year range for quarterly Cash from Operations is -$3.95 billion (fiscal Q2 2023) to $6.42 billion (fiscal Q3 2023).
- Year-over-year, Cash from Operations has increased for three consecutive quarters, with an average decline of 4.9% over the last eight quarters.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q3 2023 (growth of 407.9%), and the weakest in fiscal Q2 2022 (a decline of 81.7%).
- Business Quant data shows SBUX's Cash from Operations at $1.64 billion (Q3 2026), $364.5 million (Q2 2026) and $1.6 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 1.64 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 507.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 590.14 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 551.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 279.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 551.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 180.15 Mn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 168.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.64 Bn |
| Mar 29, 2026 | 364.50 Mn |
| Dec 28, 2025 | 1.60 Bn |
| Sep 28, 2025 | 1.38 Bn |
| Jun 29, 2025 | 1.00 Bn |
| Mar 30, 2025 | 292.00 Mn |
| Dec 29, 2024 | 2.07 Bn |
| Sep 29, 2024 | 1.54 Bn |
| Jun 30, 2024 | 1.67 Bn |
| Mar 31, 2024 | 506.00 Mn |
| Dec 31, 2023 | 2.38 Bn |
| Oct 1, 2023 | 1.95 Bn |
| Jul 2, 2023 | 6.42 Bn |
| Apr 2, 2023 | -3.95 Bn |
| Jan 1, 2023 | 1.59 Bn |
| Oct 2, 2022 | 1.10 Bn |
| Jul 3, 2022 | 1.26 Bn |
| Apr 3, 2022 | 161.90 Mn |
| Jan 2, 2022 | 1.87 Bn |
| Oct 3, 2021 | 1.52 Bn |
API Access
Starbucks Cash from Operations 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=cash-from-operations&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();