Good Times Restaurants (GTIM) Buildings (2023 - 2026)
Good Times Restaurants (GTIM) reported Buildings of $4.84 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), unchanged from $4.84 million a year earlier and unchanged from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Buildings (2023 - 2026) Analysis & Trends
Dating back to fiscal Q4 2023, Good Times Restaurants' Buildings record includes 9 quarters.
- By fiscal year, Buildings came in at $4.99 million in FY2024 (+6.8%) and $4.67 million in FY2023.
- Five-year quarterly Buildings spans a low of $4.67 million in fiscal Q4 2023 and a high of $5.34 million in fiscal Q1 2025.
- Year over year, Buildings gained in 1 of the last five quarters, with an average decline of 2.2%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.84 million (Q2 2026), $4.84 million (Q1 2026) and $4.84 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.84 Mn |
| Mar 31, 2026 | 4.84 Mn |
| Dec 30, 2025 | 4.84 Mn |
| Sep 30, 2025 | 4.84 Mn |
| Jul 1, 2025 | 4.84 Mn |
| Apr 1, 2025 | 5.11 Mn |
| Dec 31, 2024 | 5.34 Mn |
| Sep 24, 2024 | 4.99 Mn |
| Sep 26, 2023 | 4.67 Mn |
API Access
Good Times Restaurants Buildings 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=buildings&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();