Good Times Restaurants (GTIM) Property, Plant & Equipment (Net) (2010 - 2026)
Good Times Restaurants (GTIM) posted Property, Plant & Equipment (Net) of $19.68 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 13.3% from $22.71 million a year earlier and down 3.1% from the prior quarter.
Good Times Restaurants (GTIM) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants' Property, Plant & Equipment (Net) came in at $21.87 million, down 4.1% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior fiscal years, Good Times Restaurants' Property, Plant & Equipment (Net) was $22.8 million in FY2024 (-1.0%), $23.04 million in FY2023 (+3.5%), $22.25 million in FY2022 (-18.3%) and $27.23 million in FY2021 (-1.6%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2013.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last five quarters, with an average decline of 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was fiscal Q3 2024, with growth of 6.8%; the weakest was fiscal Q4 2022, with a decline of 18.3%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $20.32 million (Q2 2026), $21.1 million (Q1 2026) and $21.87 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 28.80 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 6.94 Bn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 3.04 Bn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 1.64 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 2.25 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.25 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 2.66 Bn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 1.96 Bn |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 19.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.68 Mn |
| Mar 31, 2026 | 20.32 Mn |
| Dec 30, 2025 | 21.10 Mn |
| Sep 30, 2025 | 21.87 Mn |
| Jul 1, 2025 | 22.71 Mn |
| Apr 1, 2025 | 23.25 Mn |
| Dec 31, 2024 | 23.55 Mn |
| Sep 24, 2024 | 22.80 Mn |
| Jun 25, 2024 | 22.95 Mn |
| Mar 26, 2024 | 22.23 Mn |
| Dec 26, 2023 | 22.55 Mn |
| Sep 26, 2023 | 23.04 Mn |
| Jun 27, 2023 | 21.49 Mn |
| Mar 28, 2023 | 21.84 Mn |
| Dec 27, 2022 | 22.19 Mn |
| Sep 27, 2022 | 22.25 Mn |
| Jun 28, 2022 | 23.54 Mn |
| Mar 29, 2022 | 24.20 Mn |
| Dec 28, 2021 | 26.32 Mn |
| Sep 28, 2021 | 27.23 Mn |
Good Times Restaurants Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();