Cava (CAVA) EBITDA (2022 - 2026)
Cava (CAVA) posted EBITDA of $47.81 million for Q2 2026, up 31.1% from $36.46 million a year earlier.
Cava (CAVA) EBITDA (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jul 12, 2026, EBITDA at Cava was $140.24 million, up 16.9% year-over-year; for FY2025, it was $128.95 million, up 24.6% from FY2024.
- In prior years, Cava's EBITDA was $103.47 million in FY2024 (+98.3%), $52.19 million in FY2023, -$17.04 million in FY2022 and -$8.31 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q2 2022.
- Over the past five years, the year-over-year growth in EBITDA ranged from 12.1% (Q4 2025) to 150.5% (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Cava | 6.47 Bn | 4.86 Bn | 95.58 Mn | 47.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 47.81 Mn |
| Dec 28, 2025 | 21.22 Mn |
| Oct 5, 2025 | 34.75 Mn |
| Jul 13, 2025 | 36.46 Mn |
| Apr 20, 2025 | 36.52 Mn |
| Dec 29, 2024 | 18.93 Mn |
| Oct 6, 2024 | 28.09 Mn |
| Jul 14, 2024 | 29.88 Mn |
| Apr 21, 2024 | 26.58 Mn |
| Dec 31, 2023 | 10.76 Mn |
| Oct 1, 2023 | 14.32 Mn |
| Jul 9, 2023 | 16.47 Mn |
| Apr 16, 2023 | 10.61 Mn |
| Dec 25, 2022 | -8.37 Mn |
| Oct 2, 2022 | -2.21 Mn |
| Jul 10, 2022 | 608,000.00 |
Cava 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=ebitda&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();