Good Times Restaurants (GTIM) Receivables - Net (2010 - 2026)
Good Times Restaurants (GTIM) recorded Receivables - Net of $833,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 2.3% from $853,000 a year earlier but up 15.1% from the prior quarter.
Powered by 
Analysis
Good Times Restaurants (GTIM) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Good Times Restaurants reported Receivables - Net of $795,000, down 10.7% from FY2024.
- Annual Receivables - Net has a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier fiscal years, Receivables - Net came in at $890,000 in FY2024 (+15.7%), $769,000 in FY2023 (+10.8%), $694,000 in FY2022 (+7.8%) and $644,000 in FY2021 (-1.8%).
- Quarterly Receivables - Net has ranged from $272,000 in fiscal Q4 2023 to $2.35 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Receivables - Net rose in three of the last eight quarters, with growth averaging 24.3%.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 230.5% in fiscal Q1 2022, against a decline of 60.8% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $724,000 (Q2 2026), $1.15 million (Q1 2026) and $795,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 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 |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | Good Times Restaurants | 15.63 Mn | 4.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 833,000.00 |
| Mar 31, 2026 | 724,000.00 |
| Dec 30, 2025 | 1.15 Mn |
| Sep 30, 2025 | 795,000.00 |
| Jul 1, 2025 | 853,000.00 |
| Apr 1, 2025 | 786,000.00 |
| Dec 31, 2024 | 1.05 Mn |
| Sep 24, 2024 | 890,000.00 |
| Jun 25, 2024 | 782,000.00 |
| Mar 26, 2024 | 862,000.00 |
| Dec 26, 2023 | 1.33 Mn |
| Sep 26, 2023 | 272,000.00 |
| Jun 27, 2023 | 729,000.00 |
| Mar 28, 2023 | 603,000.00 |
| Dec 27, 2022 | 1.12 Mn |
| Sep 27, 2022 | 694,000.00 |
| Jun 28, 2022 | 694,000.00 |
| Mar 29, 2022 | 1.42 Mn |
| Dec 28, 2021 | 2.35 Mn |
| Sep 28, 2021 | 644,000.00 |
API Access
Good Times Restaurants Receivables - 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=receivables-net&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-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=receivables-net&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();