Good Times Restaurants (GTIM) Interest Paid (2009 - 2025)
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Analysis
Good Times Restaurants (GTIM) Interest Paid (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | - |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 145.60 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | - |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 139.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 139.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | - |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 27,000.00 |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 30, 2025 | 4,000.00 |
| Dec 31, 2024 | 59,000.00 |
| Dec 26, 2023 | 21,000.00 |
| Dec 27, 2022 | 5,000.00 |
| Dec 29, 2020 | 59,000.00 |
| Jun 30, 2020 | 217,000.00 |
| Mar 31, 2020 | 155,000.00 |
| Dec 31, 2019 | 253,000.00 |
| Dec 25, 2018 | 125,000.00 |
| Dec 26, 2017 | 68,000.00 |
| Dec 27, 2016 | 1,000.00 |
| Dec 31, 2015 | 22,000.00 |
| Dec 31, 2014 | 5,000.00 |
| Dec 31, 2013 | 2,000.00 |
| Jun 30, 2013 | 3,000.00 |
| Mar 31, 2013 | 15,000.00 |
| Dec 31, 2012 | 33,000.00 |
| Sep 30, 2012 | 33,000.00 |
| Jun 30, 2012 | 46,000.00 |
| Mar 31, 2012 | 44,000.00 |
API Access
Good Times Restaurants Interest Paid 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=interest-paid&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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=interest-paid&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();