Good Times Restaurants (GTIM) Non-Current Assets (2010 - 2026)
Good Times Restaurants (GTIM) posted Non-Current Assets of $73.52 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.2% from $79.25 million a year earlier and down 2.2% from the prior quarter.
Good Times Restaurants (GTIM) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants' Non-Current Assets came in at $78.55 million, down 2.5% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In prior fiscal years, Good Times Restaurants' Non-Current Assets was $80.56 million in FY2024 (-4.7%), $84.57 million in FY2023 (+13.5%), $74.51 million in FY2022 (-9.4%) and $82.24 million in FY2021 (-4.6%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Non-Current Assets since fiscal Q1 2023.
- On a year-over-year basis, Non-Current Assets has declined in each of the last ten quarters, with an average decline of 4.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q1 2024, with growth of 14.1%; the weakest was fiscal Q1 2023, with a decline of 9.5%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $75.2 million (Q2 2026), $75.78 million (Q1 2026) and $78.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.31 Bn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 73.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.52 Mn |
| Mar 31, 2026 | 75.20 Mn |
| Dec 30, 2025 | 75.78 Mn |
| Sep 30, 2025 | 78.55 Mn |
| Jul 1, 2025 | 79.25 Mn |
| Apr 1, 2025 | 80.84 Mn |
| Dec 31, 2024 | 82.97 Mn |
| Sep 24, 2024 | 80.56 Mn |
| Jun 25, 2024 | 82.37 Mn |
| Mar 26, 2024 | 81.89 Mn |
| Dec 26, 2023 | 83.14 Mn |
| Sep 26, 2023 | 84.57 Mn |
| Jun 27, 2023 | 84.08 Mn |
| Mar 28, 2023 | 82.86 Mn |
| Dec 27, 2022 | 72.85 Mn |
| Sep 27, 2022 | 74.51 Mn |
| Jun 28, 2022 | 76.92 Mn |
| Mar 29, 2022 | 78.79 Mn |
| Dec 28, 2021 | 80.52 Mn |
| Sep 28, 2021 | 82.24 Mn |
Good Times Restaurants Non-Current Assets 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=non-current-assets&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();