Good Times Restaurants (GTIM) Interest Expenses (2021 - 2026)
Good Times Restaurants (GTIM) recorded Interest Expenses of $24,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 52.9% from $51,000 a year earlier and down 33.3% from the prior quarter.
Good Times Restaurants (GTIM) Interest Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Good Times Restaurants' Interest Expenses came in at $154,000 as of Jun 30, 2026, down 13.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $196,000, up 56.8% from FY2024.
- Annual Interest Expenses has increased for three straight fiscal years, with a three-year compound annual growth rate of 53.7% (FY2022 to FY2025).
- Across earlier fiscal years, Interest Expenses came in at $125,000 in FY2024 (+60.3%), $78,000 in FY2023 (+44.4%) and $54,000 in FY2022.
- Quarterly Interest Expenses has ranged from $12,000 in fiscal Q1 2023 to $56,000 in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Interest Expenses rose in five of the last seven quarters, with growth averaging 23.9%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 166.7% in fiscal Q1 2024, against a decline of 52.9% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $36,000 (Q2 2026), $51,000 (Q1 2026) and $43,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 408.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 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 | - |
| 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 | 125.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 5.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | - |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 | 24,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24,000.00 |
| Mar 31, 2026 | 36,000.00 |
| Dec 30, 2025 | 51,000.00 |
| Jul 1, 2025 | 51,000.00 |
| Apr 1, 2025 | 56,000.00 |
| Dec 31, 2024 | 46,000.00 |
| Jun 25, 2024 | 27,000.00 |
| Mar 26, 2024 | 42,000.00 |
| Dec 26, 2023 | 32,000.00 |
| Jun 27, 2023 | -56,000.00 |
| Mar 28, 2023 | 26,000.00 |
| Dec 27, 2022 | 12,000.00 |
| Jun 28, 2022 | -12,000.00 |
| Mar 29, 2022 | -11,000.00 |
| Jun 29, 2021 | -66,000.00 |
| Mar 30, 2021 | -80,000.00 |
Good Times Restaurants Interest Expenses 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-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();