Cava (CAVA) Revenue (2022 - 2026)
Cava's (CAVA) quarterly Revenue came in at $368.4 million in Q3 2026, up 31.3% year-over-year from $280.6 million in Q3 2025, and up 33.98% quarter-over-quarter from $275.0 million in Q4 2025.
Cava (CAVA) Revenue (2022 - 2026) Analysis & Trends
Cava has disclosed Revenue across 5 years of filings, most recently posting $368.4 million for Q3 2026.
- In Q3 2026, Revenue rose 31.3% year-over-year to $368.4 million; the TTM figure through Jul 2026 stood at $1.2 billion (up 12.24% YoY), while the FY2025 annual figure was $1.2 billion, up 22.41% from the prior year.
- Revenue came in at $368.4 million for Q3 2026 at Cava, up from $275.0 million in the prior quarter.
- In the past five years, Revenue ranged from a high of $368.4 million in Q3 2026 to a low of $129.9 million in Q4 2022.
- Average Revenue over 5 years is $227.9 million, with a median of $230.4 million recorded in 2024.
- Year-over-year, Revenue soared 38.89% in 2024 and increased 19.86% in 2025.
- Over 5 years, Revenue stood at $129.9 million in 2022, then soared by 36.35% to $177.2 million in 2023, then grew by 28.35% to $227.4 million in 2024, then grew by 20.93% to $275.0 million in 2025, then surged by 33.98% to $368.4 million in 2026.
- Per Business Quant data, the three most recent Revenue figures were $368.4 million in Q3 2026, $275.0 million in Q4 2025, and $292.2 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 3.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.68 Bn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn | 368.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 368.44 Mn |
| Dec 28, 2025 | 274.99 Mn |
| Oct 5, 2025 | 292.24 Mn |
| Jul 13, 2025 | 280.62 Mn |
| Apr 20, 2025 | 331.83 Mn |
| Dec 29, 2024 | 227.40 Mn |
| Oct 6, 2024 | 243.82 Mn |
| Jul 14, 2024 | 233.50 Mn |
| Apr 21, 2024 | 259.01 Mn |
| Dec 31, 2023 | 177.17 Mn |
| Oct 1, 2023 | 175.55 Mn |
| Jul 9, 2023 | 172.89 Mn |
| Apr 16, 2023 | 203.08 Mn |
| Dec 25, 2022 | 129.94 Mn |
| Oct 2, 2022 | 139.26 Mn |
| Jul 10, 2022 | 135.92 Mn |
Cava Revenue 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=revenue&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();