Good Times Restaurants (GTIM) Capital Leases (2012 - 2019)
Good Times Restaurants (GTIM) posted Capital Leases of $51,000 for fiscal Q3 2021 (quarter ended Jun 30, 2014), down 13.6% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Capital Leases (2012 - 2019) Analysis & Trends
At the end of FY2013 (ended Sep 30, 2013), Good Times Restaurants' Capital Leases came in at $74,000, down 27.5% from FY2012.
- In prior fiscal years, Good Times Restaurants' Capital Leases was $102,000 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 24, 2019 | 12.85 Mn |
| Jun 25, 2019 | 11.15 Mn |
| Mar 26, 2019 | 12.30 Mn |
| Sep 25, 2018 | 7.47 Mn |
| Jun 26, 2018 | 5.13 Mn |
| Mar 27, 2018 | 5.13 Mn |
| Dec 26, 2017 | 4.84 Mn |
| Sep 26, 2017 | 5.34 Mn |
| Jun 27, 2017 | 4.14 Mn |
| Mar 28, 2017 | 1.45 Mn |
| Dec 27, 2016 | 52,000.00 |
| Sep 27, 2016 | 19,000.00 |
| Jun 30, 2016 | 1,000.00 |
| Mar 31, 2016 | 5,000.00 |
| Dec 31, 2015 | 8,000.00 |
| Sep 30, 2015 | 11,000.00 |
| Jun 30, 2015 | 18,000.00 |
| Mar 31, 2015 | 27,000.00 |
| Dec 31, 2014 | 35,000.00 |
| Sep 30, 2014 | 42,000.00 |
API Access
Good Times Restaurants Capital Leases 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=capital-leases&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-leases", "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=capital-leases&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();