Rave Restaurant (RAVE) Return on Assets [ROA] (2012 - 2026)
Rave Restaurant's Return on Assets [ROA] came in at 15.10% for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 1.65 percentage points from 16.75% a year earlier and down 1.11 percentage points from the prior quarter.
Rave Restaurant (RAVE) Return on Assets [ROA] (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Rave Restaurant's Return on Assets [ROA] was 15.95%, down 0.74 percentage points from FY2025.
- Return on Assets [ROA] carries a five-year change of +2.76 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was 16.69% in FY2025 (+0.24 pp), 16.46% in FY2024 (+6.61 pp), 9.85% in FY2023 (-40.78 pp) and 50.63% in FY2022 (+37.44 pp).
- The fiscal Q4 2026 figure represents the lowest quarterly Return on Assets [ROA] since fiscal Q2 2024.
- Year-over-year, Return on Assets [ROA] increased in six of the last eight quarters, with an average year-over-year change of +1.05 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q1 2022 (a gain of 59.02 percentage points), and the weakest in fiscal Q3 2024 (a drop of 43.58 percentage points).
- Business Quant data shows RAVE's Return on Assets [ROA] at 16.21% (Q3 2026), 16.50% (Q2 2026) and 16.81% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 6.74% |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 16.07% |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 26.25% |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 9.37% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 6.82% |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 11.65% |
| 10 | Rave Restaurant | 32.83 Mn | -14.24 Mn | - | 15.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 15.10% |
| Mar 29, 2026 | 16.21% |
| Dec 28, 2025 | 16.50% |
| Sep 28, 2025 | 16.81% |
| Jun 29, 2025 | 16.75% |
| Mar 30, 2025 | 17.19% |
| Dec 29, 2024 | 16.46% |
| Sep 29, 2024 | 16.28% |
| Jun 30, 2024 | 16.07% |
| Mar 24, 2024 | 15.30% |
| Dec 24, 2023 | 13.13% |
| Sep 24, 2023 | 11.68% |
| Jun 25, 2023 | 11.63% |
| Mar 26, 2023 | 58.89% |
| Dec 25, 2022 | 52.22% |
| Sep 25, 2022 | 44.88% |
| Jun 26, 2022 | 53.17% |
| Mar 27, 2022 | 17.54% |
| Dec 26, 2021 | 16.41% |
| Sep 26, 2021 | 13.34% |
Rave Restaurant 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=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "RAVE", "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=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();