Cava (CAVA) EV to EBITDA (2023 - 2026)
Cava's (CAVA) EV to EBITDA stood at 57.01 in Q2 2026, down 33.5% from 85.73 a year earlier.
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Analysis
Cava (CAVA) EV to EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Cava's EV to EBITDA came in at 48.69 as of Jul 12, 2026, down 36.4% year-over-year; for FY2025, it was 51.12, down 58.7% from FY2024.
- Across earlier years, EV to EBITDA came in at 123.68 in FY2024 (+184.5%) and 43.47 in FY2023.
- Quarterly EV to EBITDA has ranged from 43.49 in Q4 2023 to 148.33 in Q3 2024 over the past five years.
- On a year-over-year basis, EV to EBITDA rose in two of the last seven quarters, with growth averaging 7.1%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 184.4% in Q4 2024, against a decline of 62.8% in Q3 2025 at the low end.
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 | 57.01 |
| Dec 28, 2025 | 51.12 |
| Oct 5, 2025 | 55.12 |
| Jul 13, 2025 | 85.73 |
| Apr 20, 2025 | 84.44 |
| Dec 29, 2024 | 123.68 |
| Oct 6, 2024 | 148.33 |
| Jul 14, 2024 | 113.90 |
| Apr 21, 2024 | 95.03 |
| Dec 31, 2023 | 43.49 |
| Oct 1, 2023 | 95.02 |
| Jul 9, 2023 | 46.72 |
API Access
Cava 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=CAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();