Good Times Restaurants (GTIM) Interest & Investment Income (2019)
Good Times Restaurants' Interest & Investment Income came in at $3,000 for FY2013 (year ended Sep 30, 2013), down 25.0% from $4,000 in FY2012.
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Analysis
Good Times Restaurants (GTIM) Interest & Investment Income (2019) Analysis & Trends
Going back to FY2010, Good Times Restaurants' Interest & Investment Income data covers 4 fiscal years.
- Interest & Investment Income carries a three-year compound annual growth rate of 44.2% (FY2010 to FY2013).
- The five-year range for annual Interest & Investment Income is $1,000 (FY2010) to $4,000 (FY2012).
- Per Business Quant, earlier fiscal years put Interest & Investment Income at $4,000 in FY2012 (+300.0%), $1,000 in FY2011 (unchanged) and $1,000 in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int & Inv Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 57.80 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | - |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | - |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | - |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | - |
API Access
Good Times Restaurants Interest & Investment Income 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=interest-and-investment-income&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-and-investment-income", "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=interest-and-investment-income&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();