Starbucks (SBUX) Tax Provisions (2009 - 2026)
Starbucks' Tax Provisions came in at $251.7 million for fiscal Q4 2026 (quarter ended Sep 27, 2026), up 719.9% from $30.7 million a year earlier but down 32.8% from the prior quarter.
Powered by 
Analysis
Starbucks (SBUX) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Starbucks' Tax Provisions was $1.32 billion, up 102.1% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 2.6% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $650.6 million in FY2025 (-46.1%), $1.21 billion in FY2024 (-5.5%), $1.28 billion in FY2023 (+34.7%) and $948.5 million in FY2022 (-18.0%).
- The five-year range for quarterly Tax Provisions is $30.7 million (fiscal Q4 2025) to $471.6 million (fiscal Q1 2026).
- Year-over-year, Tax Provisions has increased for four consecutive quarters, with growth averaging 93.8% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2026 (growth of 719.9%), and the weakest in fiscal Q4 2025 (a decline of 89.2%).
- Business Quant data shows SBUX's Tax Provisions at $374.4 million (Q3 2026), $217.3 million (Q2 2026) and $471.6 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 702.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 251.70 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 117.25 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 572.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | -133.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 34.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -133.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 130.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 12.68 Mn |
| 10 | Luckin Coffee | 11.80 Bn | 6.89 Bn | 1.64 Bn | -136.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 251.70 Mn |
| Jun 28, 2026 | 374.40 Mn |
| Mar 29, 2026 | 217.30 Mn |
| Dec 28, 2025 | 471.60 Mn |
| Sep 28, 2025 | 30.70 Mn |
| Jun 29, 2025 | 260.40 Mn |
| Mar 30, 2025 | 118.00 Mn |
| Dec 29, 2024 | 241.40 Mn |
| Sep 29, 2024 | 284.10 Mn |
| Jun 30, 2024 | 348.60 Mn |
| Mar 31, 2024 | 219.90 Mn |
| Dec 31, 2023 | 354.70 Mn |
| Oct 1, 2023 | 373.80 Mn |
| Jul 2, 2023 | 322.40 Mn |
| Apr 2, 2023 | 301.30 Mn |
| Jan 1, 2023 | 279.80 Mn |
| Oct 2, 2022 | 222.60 Mn |
| Jul 3, 2022 | 278.50 Mn |
| Apr 3, 2022 | 201.10 Mn |
| Jan 2, 2022 | 246.30 Mn |
API Access
Starbucks Tax Provisions 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=tax-provisions&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();