Starbucks (SBUX) Cash & Equivalents (2009 - 2026)
Starbucks (SBUX) recorded Cash & Equivalents of $3.68 billion in fiscal Q4 2026 (quarter ended Sep 27, 2026), up 14.3% from $3.22 billion a year earlier and up 6.7% from the prior quarter.
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Analysis
Starbucks (SBUX) Cash & Equivalents (2009 - 2026) Analysis & Trends
Starting with fiscal Q2 2009, Starbucks' Cash & Equivalents history includes 71 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -10.6% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $3.22 billion in FY2025 (-2.0%), $3.29 billion in FY2024 (-7.5%), $3.55 billion in FY2023 (+26.0%) and $2.82 billion in FY2022 (-56.3%).
- The fiscal Q4 2026 figure is the highest quarterly Cash & Equivalents since fiscal Q3 2025.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 31.3% in fiscal Q3 2025, against a decline of 56.3% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.45 billion (Q3 2026), $1.53 billion (Q2 2026) and $3.41 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 634.21 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 202.43 Mn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 229.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.45 Bn |
| Mar 29, 2026 | 1.53 Bn |
| Dec 28, 2025 | 3.41 Bn |
| Sep 28, 2025 | 3.22 Bn |
| Jun 29, 2025 | 4.17 Bn |
| Mar 30, 2025 | 2.67 Bn |
| Dec 29, 2024 | 3.67 Bn |
| Sep 29, 2024 | 3.29 Bn |
| Jun 30, 2024 | 3.18 Bn |
| Mar 31, 2024 | 2.76 Bn |
| Dec 31, 2023 | 3.00 Bn |
| Oct 1, 2023 | 3.55 Bn |
| Jul 2, 2023 | 3.36 Bn |
| Apr 2, 2023 | 3.07 Bn |
| Jan 1, 2023 | 3.19 Bn |
| Oct 2, 2022 | 2.82 Bn |
| Jul 3, 2022 | 3.18 Bn |
| Apr 3, 2022 | 3.91 Bn |
| Jan 2, 2022 | 3.97 Bn |
| Oct 3, 2021 | 6.46 Bn |
API Access
Starbucks Cash & Equivalents 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-and-equivalents&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();