Good Times Restaurants (GTIM) Other Operating Activities (2011)
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Good Times Restaurants (GTIM) Other Operating Activities (2011) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.75 Bn | 169.57 Bn | 6.42 Bn | - |
| 2 | Starbucks | 112.63 Bn | 100.26 Bn | - | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 34.00 Mn |
| 4 | Chipotle Mexican Grill | 35.91 Bn | 31.89 Bn | - | - |
| 5 | Restaurant Brands International | 25.90 Bn | 21.45 Bn | 1.38 Bn | -10.00 Mn |
| 6 | Darden Restaurants | 24.51 Bn | 23.61 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -10.00 Mn |
| 8 | Yum China Holdings | 15.48 Bn | 9.14 Bn | 537.00 Mn | -16.00 Mn |
| 9 | Texas Roadhouse | 10.99 Bn | 10.33 Bn | - | - |
| 10 | Good Times Restaurants | 13.75 Mn | 1.48 Mn | - | - |
API Access
Good Times Restaurants Other Operating Activities 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=other-operating-activities&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-activities", "ticker": "GTIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-activities&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();