Cava (CAVA) Accumulated Expenses (2022 - 2026)
Cava's Accumulated Expenses was $99.74 million in Q2 2026, up 35.8% from $73.47 million a year earlier.
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Analysis
Cava (CAVA) Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Cava came in at $76.64 million, up 9.8% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a three-year compound annual growth rate of 23.7% (FY2022 to FY2025).
- In earlier years, Accumulated Expenses was $69.82 million in FY2024 (+17.9%), $59.22 million in FY2023 (+46.3%) and $40.47 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2022.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2023 (growth of 46.3%); the worst was Q2 2024 (a decline of 4.3%).
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 | 99.74 Mn |
| Dec 28, 2025 | 76.64 Mn |
| Oct 5, 2025 | 78.53 Mn |
| Jul 13, 2025 | 73.47 Mn |
| Apr 20, 2025 | 63.72 Mn |
| Dec 29, 2024 | 69.82 Mn |
| Oct 6, 2024 | 67.89 Mn |
| Jul 14, 2024 | 63.54 Mn |
| Apr 21, 2024 | 53.96 Mn |
| Dec 31, 2023 | 59.22 Mn |
| Oct 1, 2023 | 63.00 Mn |
| Jul 9, 2023 | 66.39 Mn |
| Dec 25, 2022 | 40.47 Mn |
API Access
Cava Accumulated Expenses 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=accumulated-expenses&ticker=CAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();