Good Times Restaurants (GTIM) Net Equity Issued and Repurchased (2010 - 2022)
Good Times Restaurants (GTIM) reported Net Equity Issued and Repurchased of $5,000 for FY2023 (year ended Sep 26, 2023), down 96.8% from $156,000 in FY2022.
Good Times Restaurants (GTIM) Net Equity Issued and Repurchased (2010 - 2022) Analysis & Trends
Dating back to FY2011, Good Times Restaurants' Net Equity Issued and Repurchased record includes 6 fiscal years.
- The FY2023 figure ranks as the lowest annual Net Equity Issued and Repurchased since FY2012.
- According to Business Quant data, Net Equity Issued and Repurchased came in at $156,000 in FY2022 (-64.5%) and $440,000 in FY2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 14.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 15.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 7.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 6.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 7.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2022 | 5,000.00 |
| Sep 27, 2022 | 66,000.00 |
| Jun 28, 2022 | -89.91 Mn |
| Mar 29, 2022 | 89.99 Mn |
| Dec 28, 2021 | 6,000.00 |
| Sep 28, 2021 | 33,000.00 |
| Jun 29, 2021 | 311,000.00 |
| Mar 30, 2021 | 83,000.00 |
| Dec 29, 2020 | 13,000.00 |
| Sep 30, 2013 | 6.16 Mn |
| Dec 31, 2010 | 1.73 Mn |
Good Times Restaurants Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();