GEN Restaurant (GENK) Return on Assets [ROA] (2023 - 2026)
GEN Restaurant's Return on Assets [ROA] came in at -8.69% for Q2 2026, down 6.64 percentage points from -2.04% a year earlier.
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Analysis
GEN Restaurant (GENK) Return on Assets [ROA] (2023 - 2026) Analysis & Trends
For FY2025, GEN Restaurant's Return on Assets [ROA] was -7.75%, down 9.88 percentage points from FY2024.
- Going back by year, Return on Assets [ROA] was 2.14% in FY2024 (-4.95 pp) and 7.09% in FY2023.
- The Q2 2026 figure represents the lowest quarterly Return on Assets [ROA] in data going back to Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 6.74% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 16.07% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 26.25% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 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 | 13.79 Bn | 8.16 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 11.65% |
| 10 | GEN Restaurant | 53.07 Mn | 33.82 Mn | - | -8.69% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.69% |
| Dec 31, 2025 | -7.67% |
| Sep 30, 2025 | -3.53% |
| Jun 30, 2025 | -2.04% |
| Mar 31, 2025 | -0.48% |
| Dec 31, 2024 | 1.95% |
| Sep 30, 2024 | 2.58% |
| Jun 30, 2024 | 3.79% |
| Mar 31, 2024 | 5.32% |
| Dec 31, 2023 | 6.36% |
| Sep 30, 2023 | 6.55% |
API Access
GEN 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=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "GENK", "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=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();