Good Times Restaurants (GTIM) Price to Book (2010 - 2026)
Good Times Restaurants' (GTIM) Price to Book was 0.41 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 26.8% from 0.56 a year earlier but up 14.0% from the prior quarter.
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Analysis
Good Times Restaurants (GTIM) Price to Book (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Price to Book at Good Times Restaurants was 0.51, down 45.8% from FY2024.
- By fiscal year, Price to Book came in at 0.94 in FY2024 (-9.5%), 1.04 in FY2023 (+7.7%), 0.96 in FY2022 (-53.9%) and 2.09 in FY2021 (+74.6%).
- Five-year quarterly Price to Book spans a low of 0.36 in fiscal Q2 2026 and a high of 2.09 in fiscal Q4 2021.
- Year over year, Price to Book has now declined in each of the last 11 quarters, with an average decline of 29.9% over the last eight quarters.
- The high point for year-over-year Price to Book in five years was fiscal Q4 2021 (growth of 74.6%); the low point was fiscal Q1 2026 (a decline of 55.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 0.36 (Q2 2026), 0.38 (Q1 2026) and 0.51 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Good Times Restaurants | 15.84 Mn | 4.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.41 |
| Mar 31, 2026 | 0.36 |
| Dec 30, 2025 | 0.38 |
| Sep 30, 2025 | 0.51 |
| Jul 1, 2025 | 0.56 |
| Apr 1, 2025 | 0.78 |
| Dec 31, 2024 | 0.83 |
| Sep 24, 2024 | 0.94 |
| Jun 25, 2024 | 0.84 |
| Mar 26, 2024 | 0.85 |
| Dec 26, 2023 | 0.90 |
| Sep 26, 2023 | 1.04 |
| Jun 27, 2023 | 1.17 |
| Mar 28, 2023 | 0.92 |
| Dec 27, 2022 | 1.03 |
| Sep 27, 2022 | 0.96 |
| Jun 28, 2022 | 1.18 |
| Mar 29, 2022 | 1.53 |
| Dec 28, 2021 | 1.75 |
| Sep 28, 2021 | 2.09 |
API Access
Good Times Restaurants Price to Book 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=price-to-book&ticker=GTIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=GTIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();