Starbucks (SBUX) EBT (2009 - 2026)
Starbucks (SBUX) recorded EBT of $1.42 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), up 73.3% from $818.9 million a year earlier and up 94.9% from the prior quarter.
Starbucks (SBUX) EBT (2009 - 2026) Analysis & Trends
On a TTM basis, Starbucks' EBT came in at $3.08 billion as of Jun 28, 2026, down 13.0% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $2.51 billion, down 49.5% from FY2024.
- Annual EBT has a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- Across earlier fiscal years, EBT came in at $4.97 billion in FY2024 (-8.0%), $5.4 billion in FY2023 (+27.6%), $4.23 billion in FY2022 (-21.0%) and $5.36 billion in FY2021 (+360.1%).
- The fiscal Q3 2026 figure is the highest quarterly EBT since fiscal Q4 2023.
- On a year-over-year basis, EBT rose in two of the last eight quarters, with an average decline of 16.9%.
- Peak year-over-year performance for EBT in the last five years was growth of 408.0% in fiscal Q4 2021, against a decline of 86.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $728.1 million (Q2 2026), $764.8 million (Q1 2026) and $163.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.11 Bn | 166.93 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 109.41 Bn | 97.04 Bn | - | 1.42 Bn |
| 3 | Yum Brands | 41.37 Bn | 38.26 Bn | 1.47 Bn | 533.00 Mn |
| 4 | Chipotle Mexican Grill | 39.26 Bn | 35.24 Bn | - | 533.27 Mn |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | 592.00 Mn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | 269.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 592.00 Mn |
| 8 | Yum China Holdings | 15.61 Bn | 9.27 Bn | 537.00 Mn | 354.00 Mn |
| 9 | Texas Roadhouse | 11.22 Bn | 10.56 Bn | - | 143.99 Mn |
| 10 | Luckin Coffee | 10.65 Bn | 9.73 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.42 Bn |
| Mar 29, 2026 | 728.10 Mn |
| Dec 28, 2025 | 764.80 Mn |
| Sep 28, 2025 | 163.90 Mn |
| Jun 29, 2025 | 818.90 Mn |
| Mar 30, 2025 | 502.10 Mn |
| Dec 29, 2024 | 1.02 Bn |
| Sep 29, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.40 Bn |
| Mar 31, 2024 | 992.40 Mn |
| Dec 31, 2023 | 1.38 Bn |
| Oct 1, 2023 | 1.59 Bn |
| Jul 2, 2023 | 1.46 Bn |
| Apr 2, 2023 | 1.21 Bn |
| Jan 1, 2023 | 1.14 Bn |
| Oct 2, 2022 | 1.10 Bn |
| Jul 3, 2022 | 1.19 Bn |
| Apr 3, 2022 | 876.10 Mn |
| Jan 2, 2022 | 1.06 Bn |
| Oct 3, 2021 | 2.25 Bn |
Starbucks EBT 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=ebt&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();