Good Times Restaurants (GTIM) Shares Outstanding (2010 - 2026)
Good Times Restaurants' Shares Outstanding was 10.56 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.2% from 10.58 million a year earlier and unchanged from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Shares Outstanding at Good Times Restaurants came in at 10.61 million, down 3.9% from FY2024.
- Shares Outstanding has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In earlier fiscal years, Shares Outstanding was 11.05 million in FY2024 (-6.2%), 11.77 million in FY2023 (-5.5%), 12.46 million in FY2022 (-1.7%) and 12.68 million in FY2021 (+0.7%).
- Quarterly Shares Outstanding has moved between 10.55 million (fiscal Q1 2026) and 12.68 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Shares Outstanding has declined for 19 straight quarters, with an average decline of 3.3% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q4 2021 (growth of 0.7%); the worst was fiscal Q3 2024 (a decline of 6.5%).
- Per Business Quant data, GTIM's Shares Outstanding in the three fiscal quarters before Q3 2026 was 10.56 million (Q2 2026), 10.55 million (Q1 2026) and 10.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 275.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 348.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 115.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 228.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.70 Mn |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - | 10.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.56 Mn |
| Mar 31, 2026 | 10.56 Mn |
| Dec 30, 2025 | 10.55 Mn |
| Sep 30, 2025 | 10.61 Mn |
| Jul 1, 2025 | 10.58 Mn |
| Apr 1, 2025 | 10.63 Mn |
| Dec 31, 2024 | 10.68 Mn |
| Sep 24, 2024 | 11.05 Mn |
| Jun 25, 2024 | 10.93 Mn |
| Mar 26, 2024 | 11.14 Mn |
| Dec 26, 2023 | 11.38 Mn |
| Sep 26, 2023 | 11.77 Mn |
| Jun 27, 2023 | 11.70 Mn |
| Mar 28, 2023 | 11.82 Mn |
| Dec 27, 2022 | 12.04 Mn |
| Sep 27, 2022 | 12.46 Mn |
| Jun 28, 2022 | 12.46 Mn |
| Mar 29, 2022 | 12.53 Mn |
| Dec 28, 2021 | 12.52 Mn |
| Sep 28, 2021 | 12.68 Mn |
API Access
Good Times Restaurants Shares Outstanding 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=shares-outstanding&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();