Good Times Restaurants (GTIM) Capital Expenditures (2009 - 2026)
Good Times Restaurants (GTIM) reported Capital Expenditures of $413,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 22.1% from $530,000 a year earlier but up 28.3% from the prior quarter.
Good Times Restaurants (GTIM) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Good Times Restaurants' Capital Expenditures came in at $1.23 million, down 66.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $3.07 million, down 2.4% from FY2024.
- Capital Expenditures has a four-year compound annual growth rate of -1.0% (FY2021 to FY2025).
- By fiscal year, Capital Expenditures came in at $3.14 million in FY2024 (-34.1%), $4.77 million in FY2023 (+80.7%), $2.64 million in FY2022 (-17.4%) and $3.2 million in FY2021.
- Five-year quarterly Capital Expenditures spans a low of $189,000 in fiscal Q1 2026 and a high of $1.76 million in fiscal Q3 2023.
- Year over year, Capital Expenditures has now declined in each of the last five quarters, with an average decline of 10.9% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q3 2023 (growth of 293.5%); the low point was fiscal Q1 2026 (a decline of 86.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $322,000 (Q2 2026), $189,000 (Q1 2026) and $302,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 949.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 375.80 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 243.00 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 87.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 72.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 180.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 72.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 146.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 135.56 Mn |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | -413,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -413,000.00 |
| Mar 31, 2026 | -511,000.00 |
| Dec 30, 2025 | 189,000.00 |
| Jul 1, 2025 | -530,000.00 |
| Apr 1, 2025 | -2.24 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Jun 25, 2024 | -1.22 Mn |
| Mar 26, 2024 | -1.06 Mn |
| Dec 26, 2023 | 448,000.00 |
| Mar 28, 2023 | -1.42 Mn |
| Dec 27, 2022 | 723,000.00 |
| Dec 28, 2021 | 237,000.00 |
| Mar 30, 2021 | -1.18 Mn |
| Dec 29, 2020 | 483,000.00 |
| Jun 30, 2020 | 340,000.00 |
| Mar 31, 2020 | -1.95 Mn |
| Dec 31, 2019 | 1.61 Mn |
| Jun 25, 2019 | -923,000.00 |
| Mar 26, 2019 | -3.79 Mn |
| Dec 25, 2018 | 2.92 Mn |
Good Times Restaurants Capital Expenditures 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-expenditures&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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-expenditures&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();