GEN Restaurant (GENK) Change in Receivables (2024 - 2026)
GEN Restaurant's Change in Receivables came in at $9.4 million for Q4 2025, up 301.5% from $2.34 million a year earlier.
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Analysis
GEN Restaurant (GENK) Change in Receivables (2024 - 2026) Analysis & Trends
For FY2025, GEN Restaurant's Change in Receivables was $6.94 million, up 98.9% from FY2024.
- Going back by year, Change in Receivables was $3.49 million in FY2024.
- Business Quant data shows GENK's Change in Receivables at -$88,000 (Q3 2025), $197,000 (Q2 2025) and -$2.58 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | -131.60 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | -881,000.00 |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | -2.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 3.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | -11.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 3.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 2.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | -16.75 Mn |
| 10 | GEN Restaurant | 49.78 Mn | 49.78 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 707,000.00 |
| Mar 31, 2026 | -9.10 Mn |
| Dec 31, 2025 | 9.40 Mn |
| Sep 30, 2025 | -88,000.00 |
| Jun 30, 2025 | 197,000.00 |
| Mar 31, 2025 | -2.58 Mn |
| Dec 31, 2024 | 2.34 Mn |
API Access
GEN Restaurant Change in Receivables 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=change-in-receivables&ticker=GENK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=GENK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();