Good Times Restaurants (GTIM) EV to EBITDA (2009 - 2026)
Good Times Restaurants' (GTIM) EV to EBITDA was 2.18 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 38.1% from 3.53 a year earlier but up 6.8% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Good Times Restaurants' EV to EBITDA came in at 0.62, down 58.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 3.50, down 34.4% from FY2024.
- By fiscal year, EV to EBITDA came in at 5.34 in FY2024 (-17.3%), 6.46 in FY2023 (+7.2%), 6.03 in FY2022 (+15.7%) and 5.21 in FY2021.
- Five-year quarterly EV to EBITDA spans a low of 2.04 in fiscal Q2 2026 and a high of 11.79 in fiscal Q1 2023.
- Year over year, EV to EBITDA has now declined in each of the last nine quarters, with an average decline of 33.3% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q1 2023 (growth of 163.2%); the low point was fiscal Q2 2026 (a decline of 58.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 2.04 (Q2 2026), 2.26 (Q1 2026) and 3.50 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 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 |
| 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 |
| 10 | Good Times Restaurants | 13.30 Mn | 1.83 Mn | 147,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 |
| Mar 31, 2026 | 2.07 |
| Dec 30, 2025 | 2.01 |
| Jul 1, 2025 | 2.77 |
| Apr 1, 2025 | 4.33 |
| Dec 31, 2024 | 4.63 |
| Jun 25, 2024 | 4.16 |
| Mar 26, 2024 | 4.54 |
| Dec 26, 2023 | 5.47 |
| Jun 27, 2023 | 6.10 |
| Mar 28, 2023 | 6.99 |
| Dec 27, 2022 | 5.10 |
| Jun 28, 2022 | 3.98 |
| Mar 29, 2022 | 5.34 |
| Dec 28, 2021 | 4.66 |
| Jun 29, 2021 | 4.25 |
| Dec 31, 2019 | 0.03 |
| Jun 25, 2019 | 0.03 |
| Mar 26, 2019 | 0.04 |
| Dec 25, 2018 | 0.02 |
API Access
Good Times Restaurants EV to EBITDA 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=ev-to-ebitda&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();