Good Times Restaurants (GTIM) Cash from Discontinued Operations (2010 - 2011)
Good Times Restaurants' Cash from Discontinued Operations came in at -$14,000 for fiscal Q1 2012 (quarter ended Dec 31, 2011), compared with -$9,000 a year earlier.
Good Times Restaurants (GTIM) Cash from Discontinued Operations (2010 - 2011) Analysis & Trends
Over the trailing twelve months to Dec 31, 2011, Good Times Restaurants reported Cash from Discontinued Operations of -$33,000; for FY2011 (ended Sep 30, 2011), it was -$19,000.
- Going back by fiscal year, Cash from Discontinued Operations was -$140,000 in FY2010.
- The five-year range for quarterly Cash from Discontinued Operations is -$14,000 (fiscal Q4 2011) to $4,000 (fiscal Q4 2010).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Discont. Ops (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -2.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | -14,000.00 |
| Sep 30, 2011 | -14,000.00 |
| Dec 31, 2010 | -9,000.00 |
| Sep 30, 2010 | 4,000.00 |
Good Times Restaurants Cash from Discontinued Operations 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=cash-from-discontinued-operations&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-discontinued-operations", "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=cash-from-discontinued-operations&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();