Good Times Restaurants (GTIM) Inventory (2010 - 2026)
Good Times Restaurants' Inventory was $1.33 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.9% from $1.44 million a year earlier and down 1.1% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Inventory at Good Times Restaurants came in at $1.39 million, down 2.2% from FY2024.
- Inventory shows a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In earlier fiscal years, Inventory was $1.42 million in FY2024 (+0.9%), $1.41 million in FY2023 (+1.4%), $1.39 million in FY2022 (+6.4%) and $1.3 million in FY2021 (+19.2%).
- The fiscal Q3 2026 figure marks the lowest quarterly Inventory since fiscal Q2 2023.
- Compared with a year earlier, Inventory has declined for seven straight quarters, with an average decline of 2.4% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q2 2022 (growth of 25.2%); the worst was fiscal Q3 2026 (a decline of 7.9%).
- Per Business Quant data, GTIM's Inventory in the three fiscal quarters before Q3 2026 was $1.34 million (Q2 2026), $1.38 million (Q1 2026) and $1.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 46.62 Mn |
| 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 | 224.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 49.69 Mn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 1.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 30, 2025 | 1.38 Mn |
| Sep 30, 2025 | 1.39 Mn |
| Jul 1, 2025 | 1.44 Mn |
| Apr 1, 2025 | 1.42 Mn |
| Dec 31, 2024 | 1.38 Mn |
| Sep 24, 2024 | 1.42 Mn |
| Jun 25, 2024 | 1.45 Mn |
| Mar 26, 2024 | 1.43 Mn |
| Dec 26, 2023 | 1.42 Mn |
| Sep 26, 2023 | 1.41 Mn |
| Jun 27, 2023 | 1.35 Mn |
| Mar 28, 2023 | 1.32 Mn |
| Dec 27, 2022 | 1.39 Mn |
| Sep 27, 2022 | 1.39 Mn |
| Jun 28, 2022 | 1.39 Mn |
| Mar 29, 2022 | 1.38 Mn |
| Dec 28, 2021 | 1.31 Mn |
| Sep 28, 2021 | 1.30 Mn |
API Access
Good Times Restaurants Inventory 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=inventory&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();