Starbucks (SBUX) Return on Assets [ROA] (2009 - 2026)
Starbucks' Return on Assets [ROA] was 6.74% in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 1.33 percentage points from 8.07% a year earlier but up 1.97 percentage points from the prior quarter.
Starbucks (SBUX) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 28, 2025), Return on Assets [ROA] at Starbucks came in at 5.86%, down 6.52 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of +2.06 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Assets [ROA] was 12.38% in FY2024 (-1.99 pp), 14.37% in FY2023 (+3.31 pp), 11.06% in FY2022 (-2.76 pp) and 13.82% in FY2021 (+10.02 pp).
- Quarterly Return on Assets [ROA] has moved between 4.26% (fiscal Q1 2026) and 15.24% (fiscal Q2 2022) over five years.
- Compared with a year earlier, Return on Assets [ROA] has declined for eight straight quarters, with an average year-over-year change of -4.41 percentage points over the last eight quarters.
- 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 Q3 2026 was 4.76% (Q2 2026), 4.26% (Q1 2026) and 5.65% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 6.74% |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 26.25% |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 16.07% |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.06% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 6.82% |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 11.65% |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
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();