Cava (CAVA) EBIT (2022 - 2026)
Cava's (CAVA) quarterly EBIT came in at $26.8 million in Q3 2026, up 36.66% year-over-year from $19.6 million in Q3 2025, and up 855.71% quarter-over-quarter from $2.8 million in Q4 2025.
Cava (CAVA) EBIT (2022 - 2026) Analysis & Trends
Cava has disclosed EBIT across 5 years of filings, most recently posting $26.8 million for Q3 2026.
- In Q3 2026, EBIT rose 36.66% year-over-year to $26.8 million; the TTM figure through Jul 2026 stood at $66.4 million (up 25.14% YoY), while the FY2025 annual figure was $55.3 million, up 28.22% from the prior year.
- EBIT came in at $26.8 million for Q3 2026 at Cava, up from $2.8 million in the prior quarter.
- In the past five years, EBIT ranged from a high of $26.8 million in Q3 2026 to a low of -$19.3 million in Q4 2022.
- Average EBIT over 5 years is $5.6 million, with a median of $4.9 million recorded in 2023.
- Year-over-year, EBIT jumped 510.88% in 2024 and fell 28.94% in 2025.
- Over 5 years, EBIT stood at -$19.3 million in 2022, then surged by 91.82% to -$1.6 million in 2023, then jumped by 350.19% to $4.0 million in 2024, then retreated by 28.94% to $2.8 million in 2025, then jumped by 855.71% to $26.8 million in 2026.
- Per Business Quant data, the three most recent EBIT figures were $26.8 million in Q3 2026, $2.8 million in Q4 2025, and $17.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 980.40 Mn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 525.60 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 142.79 Mn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn | 26.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 26.85 Mn |
| Dec 28, 2025 | 2.81 Mn |
| Oct 5, 2025 | 17.12 Mn |
| Jul 13, 2025 | 19.65 Mn |
| Apr 20, 2025 | 15.71 Mn |
| Dec 29, 2024 | 3.95 Mn |
| Oct 6, 2024 | 13.77 Mn |
| Jul 14, 2024 | 16.14 Mn |
| Apr 21, 2024 | 9.25 Mn |
| Dec 31, 2023 | -1.58 Mn |
| Oct 1, 2023 | 2.80 Mn |
| Jul 9, 2023 | 5.76 Mn |
| Apr 16, 2023 | -2.25 Mn |
| Dec 25, 2022 | -19.31 Mn |
| Oct 2, 2022 | -12.23 Mn |
| Jul 10, 2022 | -8.34 Mn |
Cava EBIT 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=ebit&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();