GEN Restaurant (GENK) Return on Capital Employed [ROCE] (2023 - 2026)
GEN Restaurant (GENK) recorded Return on Capital Employed [ROCE] of -11.76% in Q2 2026, down 9.13 percentage points from -2.63% a year earlier.
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Analysis
GEN Restaurant (GENK) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, GEN Restaurant reported Return on Capital Employed [ROCE] of -10.20%, down 10.48 percentage points from FY2024.
- Across earlier years, Return on Capital Employed [ROCE] came in at 0.28% in FY2024 (-5.94 pp) and 6.22% in FY2023.
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 23.46% |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 23.30% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 82.24% |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 11.61% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 15.87% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 11.61% |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 18.56% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 16.63% |
| 10 | GEN Restaurant | 49.78 Mn | 49.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.51% |
| Mar 31, 2026 | -12.12% |
| Dec 31, 2025 | -10.07% |
| Sep 30, 2025 | -4.44% |
| Jun 30, 2025 | -2.63% |
| Mar 31, 2025 | -0.90% |
| Dec 31, 2024 | 0.25% |
| Sep 30, 2024 | 0.47% |
| Jun 30, 2024 | 1.76% |
| Mar 31, 2024 | 3.04% |
| Dec 31, 2023 | 5.45% |
| Sep 30, 2023 | 7.99% |
API Access
GEN Restaurant Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();