Starbucks (SBUX) Income Taxes Paid (2009 - 2026)
Starbucks' Income Taxes Paid was $270.4 million in fiscal Q4 2026 (quarter ended Sep 27, 2026), up 83.3% from $147.5 million a year earlier and up 190.4% from the prior quarter.
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Analysis
Starbucks (SBUX) Income Taxes Paid (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Income Taxes Paid at Starbucks came in at $684 million, down 4.4% from FY2025.
- Income Taxes Paid shows a five-year compound annual growth rate of -2.0% (FY2021 to FY2026).
- In earlier fiscal years, Income Taxes Paid was $715.6 million in FY2025 (-47.9%), $1.37 billion in FY2024 (+6.1%), $1.29 billion in FY2023 (+11.8%) and $1.16 billion in FY2022 (+53.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Income Taxes Paid since fiscal Q2 2025.
- Compared with a year earlier, Income Taxes Paid was higher in 1 of the last eight quarters, with an average decline of 19.5%.
- The best year-over-year quarter for Income Taxes Paid over five years was fiscal Q2 2022 (growth of 390.4%); the worst was fiscal Q3 2025 (a decline of 52.4%).
- Per Business Quant data, SBUX's Income Taxes Paid in the three fiscal quarters before Q4 2026 was $93.1 million (Q3 2026), $225.6 million (Q2 2026) and $94.9 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 93.10 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 19.97 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 68.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 68.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 159.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 16.10 Mn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 93.10 Mn |
| Mar 29, 2026 | 225.60 Mn |
| Dec 28, 2025 | 94.90 Mn |
| Sep 28, 2025 | 147.50 Mn |
| Jun 29, 2025 | 108.90 Mn |
| Mar 30, 2025 | 337.80 Mn |
| Dec 29, 2024 | 121.40 Mn |
| Sep 29, 2024 | 293.40 Mn |
| Jun 30, 2024 | 229.00 Mn |
| Mar 31, 2024 | 707.90 Mn |
| Dec 31, 2023 | 143.00 Mn |
| Oct 1, 2023 | 354.40 Mn |
| Jul 2, 2023 | 303.00 Mn |
| Apr 2, 2023 | 530.60 Mn |
| Jan 1, 2023 | 106.20 Mn |
| Oct 2, 2022 | 246.40 Mn |
| Jul 3, 2022 | 128.00 Mn |
| Apr 3, 2022 | 621.80 Mn |
| Jan 2, 2022 | 161.40 Mn |
| Oct 3, 2021 | 348.40 Mn |
API Access
Starbucks Income Taxes Paid 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=income-taxes-paid&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();