Good Times Restaurants (GTIM) Payables (2010 - 2026)
Good Times Restaurants' Payables was $2.66 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.3% from $2.73 million a year earlier and down 9.7% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Payables at Good Times Restaurants came in at $2.61 million, down 14.8% from FY2024.
- Payables shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier fiscal years, Payables was $3.06 million in FY2024 (+18.3%), $2.59 million in FY2023 (+311.6%), $628,000 in FY2022 (-58.0%) and $1.5 million in FY2021 (-42.0%).
- Quarterly Payables has moved between $593,000 (fiscal Q1 2022) and $3.13 million (fiscal Q2 2025) over five years.
- Compared with a year earlier, Payables was higher in three of the last eight quarters, with growth averaging 2.4%.
- The best year-over-year quarter for Payables over five years was fiscal Q4 2023 (growth of 311.6%); the worst was fiscal Q3 2022 (a decline of 65.2%).
- Per Business Quant data, GTIM's Payables in the three fiscal quarters before Q3 2026 was $2.95 million (Q2 2026), $3.05 million (Q1 2026) and $2.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.78 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 255.13 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 4.00 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 884.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 427.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 884.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 179.04 Mn |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - | 2.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.66 Mn |
| Mar 31, 2026 | 2.95 Mn |
| Dec 30, 2025 | 3.05 Mn |
| Sep 30, 2025 | 2.61 Mn |
| Jul 1, 2025 | 2.73 Mn |
| Apr 1, 2025 | 3.13 Mn |
| Dec 31, 2024 | 2.62 Mn |
| Sep 24, 2024 | 3.06 Mn |
| Jun 25, 2024 | 2.88 Mn |
| Mar 26, 2024 | 2.75 Mn |
| Dec 26, 2023 | 2.64 Mn |
| Sep 26, 2023 | 2.59 Mn |
| Jun 27, 2023 | 1.02 Mn |
| Mar 28, 2023 | 2.38 Mn |
| Dec 27, 2022 | 951,000.00 |
| Sep 27, 2022 | 628,000.00 |
| Jun 28, 2022 | 753,000.00 |
| Mar 29, 2022 | 705,000.00 |
| Dec 28, 2021 | 593,000.00 |
| Sep 28, 2021 | 1.50 Mn |
API Access
Good Times Restaurants Payables 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=payables&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();