Cava (CAVA) EPS (Diluted) (2022 - 2026)
Cava's EPS (Diluted) was $0.19 in Q2 2026, up 25.3% from $0.16 a year earlier.
Cava (CAVA) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cava's EPS (Diluted) was $0.52 through Jul 12, 2026, down 56.6% year-over-year; for FY2025, it came in at $0.54, down 51.1% from FY2024.
- In earlier years, EPS (Diluted) was $1.10 in FY2024 (+426.4%), $0.21 in FY2023, -$44.42 in FY2022 and -$51.08 in FY2021.
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) since Q1 2025.
- Compared with a year earlier, EPS (Diluted) was higher in three of the last six quarters, with growth averaging 25.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 0.91 |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 3.08 |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 0.32 |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.10 |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 2.04 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.98 |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.85 |
| 10 | Cava | 6.47 Bn | 4.86 Bn | 95.58 Mn | 0.19 |
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 0.19 |
| Dec 28, 2025 | 0.04 |
| Oct 5, 2025 | 0.12 |
| Jul 13, 2025 | 0.16 |
| Apr 20, 2025 | 0.22 |
| Dec 29, 2024 | 0.66 |
| Oct 6, 2024 | 0.15 |
| Jul 14, 2024 | 0.17 |
| Apr 21, 2024 | 0.12 |
| Dec 31, 2023 | 0.03 |
| Oct 1, 2023 | 0.06 |
| Jul 9, 2023 | 0.21 |
| Apr 16, 2023 | -1.30 |
| Dec 25, 2022 | -14.19 |
| Oct 2, 2022 | -8.96 |
| Jul 10, 2022 | -6.23 |
Cava EPS (Diluted) 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=eps-diluted&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();