Starbucks (SBUX) Return on Assets [ROA] (2009 - 2026)
Starbucks' Return on Assets [ROA] was 8.91% in fiscal Q4 2026 (quarter ended Sep 27, 2026), up 3.26 percentage points from 5.65% a year earlier and up 2.18 percentage points from the prior quarter.
Starbucks (SBUX) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Return on Assets [ROA] at Starbucks came in at 8.36%, up 2.50 percentage points from FY2025.
- Return on Assets [ROA] shows a five-year change of -5.46 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Assets [ROA] was 5.86% in FY2025 (-6.52 pp), 12.38% in FY2024 (-1.99 pp), 14.37% in FY2023 (+3.31 pp) and 11.06% in FY2022 (-2.76 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Assets [ROA] since fiscal Q2 2025.
- Compared with a year earlier, Return on Assets [ROA] was higher in 1 of the last eight quarters, with an average year-over-year change of -3.76 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q1 2022 (a gain of 12.36 percentage points); the worst was fiscal Q1 2026 (a drop of 6.87 percentage points).
- Per Business Quant data, SBUX's Return on Assets [ROA] in the three fiscal quarters before Q4 2026 was 6.74% (Q3 2026), 4.76% (Q2 2026) and 4.26% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 6.74% |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 26.25% |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 15.05% |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 7.83% |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 9.06% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 7.83% |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 11.65% |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 34.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.74% |
| Mar 29, 2026 | 4.76% |
| Dec 28, 2025 | 4.26% |
| Sep 28, 2025 | 5.65% |
| Jun 29, 2025 | 8.07% |
| Mar 30, 2025 | 9.86% |
| Dec 29, 2024 | 11.13% |
| Sep 29, 2024 | 12.24% |
| Jun 30, 2024 | 13.69% |
| Mar 31, 2024 | 14.21% |
| Dec 31, 2023 | 14.65% |
| Oct 1, 2023 | 14.18% |
| Jul 2, 2023 | 13.20% |
| Apr 2, 2023 | 12.51% |
| Jan 1, 2023 | 11.82% |
| Oct 2, 2022 | 11.70% |
| Jul 3, 2022 | 14.58% |
| Apr 3, 2022 | 15.24% |
| Jan 2, 2022 | 14.59% |
| Oct 3, 2021 | 13.80% |
Starbucks Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();