Starbucks (SBUX) Change in Taxes (2009 - 2026)
Starbucks' (SBUX) quarterly Change in Taxes came in at $368.6 million in Q2 2026, up 732.05% year-over-year from $44.3 million in Q2 2025, and up 701.31% quarter-over-quarter from -$61.3 million in Q1 2026.
Starbucks (SBUX) Change in Taxes (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported Change in Taxes for 15 consecutive years, with $368.6 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Change in Taxes rose 732.05% year-over-year to $368.6 million in Q2 2026; TTM through Jun 2026 was $415.8 million, a 952.66% increase from a year earlier, with the FY2025 full-year figure at $103.8 million, up 267.69% from the prior year.
- Change in Taxes was $368.6 million for Q2 2026 at Starbucks, up from -$61.3 million in the prior quarter.
- Over five years, Change in Taxes peaked at $368.6 million in Q2 2026 and troughed at -$274.5 million in Q1 2024.
- A 4-year average of $30.5 million and a median of $34.2 million in 2024 frame the typical range for Change in Taxes.
- Across the five-year window, Change in Taxes slumped 348.89% in 2024 and surged 732.05% in 2026, its largest moves.
- Over 4 years, Change in Taxes stood at $189.6 million in 2023, then slumped by 44.67% to $104.9 million in 2024, then sank by 47.19% to $55.4 million in 2025, then soared by 565.34% to $368.6 million in 2026.
- The last three Change in Taxes figures came in at $368.6 million (Q2 2026), -$61.3 million (Q1 2026), and $55.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 368.60 Mn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | -28.16 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 2.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | - |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 39.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | - |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | -53.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.86 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | - |
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 |
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_KEY
import 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();