Starbucks (SBUX) Tax Provisions (2009 - 2026)
Starbucks' Tax Provisions came in at $374.4 million for fiscal Q3 2026 (quarter ended Jun 28, 2026), up 43.8% from $260.4 million a year earlier and up 72.3% from the prior quarter.
Starbucks (SBUX) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Starbucks reported Tax Provisions of $1.09 billion, up 21.0% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $650.6 million, down 46.1% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $1.21 billion in FY2024 (-5.5%), $1.28 billion in FY2023 (+34.7%), $948.5 million in FY2022 (-18.0%) and $1.16 billion in FY2021 (+382.5%).
- The five-year range for quarterly Tax Provisions is $30.7 million (fiscal Q4 2025) to $483 million (fiscal Q4 2021).
- Year-over-year, Tax Provisions has increased for three consecutive quarters, with growth averaging 0.8% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2021 (growth of 871.8%), and the weakest in fiscal Q4 2025 (a decline of 89.2%).
- Business Quant data shows SBUX's Tax Provisions at $217.3 million (Q2 2026), $471.6 million (Q1 2026) and $30.7 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 374.40 Mn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | -320.00 Mn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 129.73 Mn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | -73.00 Mn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 34.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -73.00 Mn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 19.48 Mn |
| 10 | Luckin Coffee | 10.63 Bn | 9.72 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 3, 2021 | 483.00 Mn |
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_KEY
import 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();