Cava (CAVA) Asset Utilization Ratio (2023 - 2026)
Cava's Asset Utilization Ratio came in at 0.85 for Q2 2026, down 1.1% from 0.86 a year earlier.
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Analysis
Cava (CAVA) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
For FY2025, Cava's Asset Utilization Ratio was 0.93, up 4.2% from FY2024.
- Going back by year, Asset Utilization Ratio was 0.90 in FY2024 (-3.7%) and 0.93 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Asset Utilization Ratio since Q2 2024.
- Year-over-year, Asset Utilization Ratio increased in six of the last seven quarters, with growth averaging 7.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 0.46 |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.30 |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.03 |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 1.41 |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 0.39 |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 1.02 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 0.39 |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 1.15 |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.72 |
| 10 | Cava | 6.47 Bn | 4.86 Bn | 95.58 Mn | 0.85 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 0.85 |
| Dec 28, 2025 | 0.88 |
| Oct 5, 2025 | 0.87 |
| Jul 13, 2025 | 0.86 |
| Apr 20, 2025 | 0.86 |
| Dec 29, 2024 | 0.86 |
| Oct 6, 2024 | 0.86 |
| Jul 14, 2024 | 0.83 |
| Apr 21, 2024 | 0.79 |
| Dec 31, 2023 | 0.74 |
| Oct 1, 2023 | 0.70 |
API Access
Cava Asset Utilization Ratio 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=asset-utilization-ratio&ticker=CAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();