Good Times Restaurants (GTIM) Other Non-Current Liabilities (2010 - 2024)
Good Times Restaurants' Other Non-Current Liabilities was $116,000 in fiscal Q2 2024 (quarter ended Mar 26, 2024), down 13.4% from $134,000 a year earlier but up 6.4% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Other Non-Current Liabilities (2010 - 2024) Analysis & Trends
At the end of FY2023 (ended Sep 26, 2023), Other Non-Current Liabilities at Good Times Restaurants came in at $122,000, down 23.3% from FY2022.
- Other Non-Current Liabilities has now declined for three consecutive fiscal years, with a three-year compound annual growth rate of -56.1% (FY2020 to FY2023).
- In earlier fiscal years, Other Non-Current Liabilities was $159,000 in FY2022 (-21.3%), $202,000 in FY2021 (-86.0%) and $1.44 million in FY2020.
- Quarterly Other Non-Current Liabilities has moved between $109,000 (fiscal Q1 2024) and $2.03 million (fiscal Q1 2021) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has declined for 11 straight quarters, with an average decline of 22.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Other Non-Current Liabilities ranged from 13.4% (fiscal Q2 2024) to 90.5% (fiscal Q1 2022).
- Per Business Quant data, GTIM's Other Non-Current Liabilities in the three fiscal quarters before Q2 2024 was $109,000 (Q1 2024), $122,000 (Q4 2023) and $137,000 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 26, 2024 | 116,000.00 |
| Dec 26, 2023 | 109,000.00 |
| Sep 26, 2023 | 122,000.00 |
| Jun 27, 2023 | 137,000.00 |
| Mar 28, 2023 | 134,000.00 |
| Dec 27, 2022 | 151,000.00 |
| Sep 27, 2022 | 159,000.00 |
| Jun 28, 2022 | 161,000.00 |
| Mar 29, 2022 | 176,000.00 |
| Dec 28, 2021 | 193,000.00 |
| Sep 28, 2021 | 202,000.00 |
| Jun 29, 2021 | 234,000.00 |
| Mar 30, 2021 | 844,000.00 |
| Dec 29, 2020 | 2.03 Mn |
| Sep 29, 2020 | 1.44 Mn |
| Jun 30, 2014 | 638,000.00 |
| Mar 31, 2014 | 648,000.00 |
| Dec 31, 2013 | 650,000.00 |
| Sep 30, 2013 | 653,000.00 |
| Jun 30, 2013 | 653,000.00 |
API Access
Good Times Restaurants Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();