Starbucks (SBUX) Change in Taxes (2009 - 2026)
Starbucks (SBUX) recorded Change in Taxes of $64.6 million in fiscal Q4 2026 (quarter ended Sep 27, 2026), up 21.7% from $53.1 million a year earlier but down 82.5% from the prior quarter.
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Analysis
Starbucks (SBUX) Change in Taxes (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Starbucks reported Change in Taxes of $427.3 million, up 311.7% from FY2025.
- Annual Change in Taxes has a five-year compound annual growth rate of 8.4% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Taxes came in at $103.8 million in FY2025, -$61.9 million in FY2024, $52.5 million in FY2023 and -$149.6 million in FY2022.
- Quarterly Change in Taxes has ranged from -$274.5 million in fiscal Q2 2024 to $368.6 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Change in Taxes rose in three of the last five quarters, with growth averaging 138.3%.
- Per Business Quant, the preceding three fiscal quarters came in at $368.6 million (Q3 2026), -$61.3 million (Q2 2026) and $55.4 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 368.60 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 2.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 91.80 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 8.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | -53.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 1.86 Mn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 368.60 Mn |
| Mar 29, 2026 | -61.30 Mn |
| Dec 28, 2025 | 55.40 Mn |
| Sep 28, 2025 | 53.10 Mn |
| Jun 29, 2025 | 44.30 Mn |
| Mar 30, 2025 | -98.50 Mn |
| Dec 29, 2024 | 104.90 Mn |
| Sep 29, 2024 | -11.20 Mn |
| Jun 30, 2024 | 34.20 Mn |
| Mar 31, 2024 | -274.50 Mn |
| Dec 31, 2023 | 189.60 Mn |
| Oct 1, 2023 | 4.50 Mn |
| Jul 2, 2023 | 32.20 Mn |
| Apr 2, 2023 | -131.80 Mn |
| Jan 1, 2023 | 147.60 Mn |
| Oct 3, 2021 | 157.20 Mn |
| Jun 27, 2021 | 88.90 Mn |
| Mar 28, 2021 | -16.90 Mn |
| Dec 27, 2020 | 56.90 Mn |
| Sep 27, 2020 | 9.90 Mn |
API Access
Starbucks Change in Taxes 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=change-in-taxes&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();