Starbucks (SBUX) EBITDA (2009 - 2026)
Starbucks' (SBUX) quarterly EBITDA came in at $1.3 billion in Q2 2026, down 1.56% year-over-year from $1.4 billion in Q2 2025, and up 12.63% quarter-over-quarter from $1.2 billion in Q1 2026.
Starbucks (SBUX) EBITDA (2009 - 2026) Analysis & Trends
Starbucks (SBUX) has reported EBITDA for 18 consecutive years, with $1.3 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, EBITDA fell 1.56% year-over-year to $1.3 billion in Q2 2026; TTM through Jun 2026 was $3.7 billion, a 23.05% decrease from a year earlier, with the FY2025 full-year figure at $2.9 billion, down 45.71% from the prior year.
- EBITDA was $1.3 billion for Q2 2026 at Starbucks, up from $1.2 billion in the prior quarter.
- Over five years, EBITDA peaked at $1.7 billion in Q4 2023 and troughed at $278.2 million in Q3 2025.
- A 5-year average of $1.2 billion and a median of $1.3 billion in 2023 frame the typical range for EBITDA.
- Across the five-year window, EBITDA soared 42.72% in 2023 and sank 78.71% in 2025, its largest moves.
- Over 5 years, EBITDA stood at $1.2 billion in 2022, then grew by 24.25% to $1.5 billion in 2023, then retreated by 24.48% to $1.1 billion in 2024, then declined by 20.58% to $890.8 million in 2025, then soared by 50.65% to $1.3 billion in 2026.
- The last three EBITDA figures came in at $1.3 billion (Q2 2026), $1.2 billion (Q1 2026), and $890.8 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.34 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 525.60 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 142.79 Mn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 232.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.34 Bn |
| Mar 29, 2026 | 1.19 Bn |
| Dec 28, 2025 | 890.80 Mn |
| Sep 28, 2025 | 278.20 Mn |
| Jun 29, 2025 | 1.36 Bn |
| Mar 30, 2025 | 1.02 Bn |
| Dec 29, 2024 | 1.12 Bn |
| Sep 29, 2024 | 1.31 Bn |
| Jun 30, 2024 | 1.52 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.49 Bn |
| Oct 1, 2023 | 1.71 Bn |
| Jul 2, 2023 | 1.58 Bn |
| Apr 2, 2023 | 1.33 Bn |
| Jan 1, 2023 | 1.25 Bn |
| Oct 2, 2022 | 1.20 Bn |
| Jul 3, 2022 | 1.30 Bn |
| Apr 3, 2022 | 948.90 Mn |
| Jan 2, 2022 | 1.18 Bn |
| Oct 3, 2021 | 1.48 Bn |
Starbucks EBITDA 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=ebitda&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();