Cava (CAVA) Price to Book (2023 - 2026)
Cava's (CAVA) Price to Book was 10.02 for Q2 2026, down 29.5% from 14.22 a year earlier.
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Analysis
Cava (CAVA) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at Cava was 8.96, down 52.7% from FY2024.
- By year, Price to Book came in at 18.92 in FY2024 (+315.3%) and 4.56 in FY2023.
- Five-year quarterly Price to Book spans a low of 2.02 in Q2 2023 and a high of 23.53 in Q3 2024.
- Year over year, Price to Book gained in three of the last seven quarters, with growth averaging 65.9%.
- The high point for year-over-year Price to Book in five years was Q2 2024 (growth of 699.9%); the low point was Q3 2025 (a decline of 59.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Cava | 6.47 Bn | 4.86 Bn | 95.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 10.02 |
| Dec 28, 2025 | 8.96 |
| Oct 5, 2025 | 9.58 |
| Jul 13, 2025 | 14.22 |
| Apr 20, 2025 | 13.70 |
| Dec 29, 2024 | 18.92 |
| Oct 6, 2024 | 23.53 |
| Jul 14, 2024 | 16.17 |
| Apr 21, 2024 | 11.71 |
| Dec 31, 2023 | 4.56 |
| Oct 1, 2023 | 6.15 |
| Jul 9, 2023 | 2.02 |
API Access
Cava 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=CAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CAVA", "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=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();