Cava (CAVA) Change in Accured Expenses (2022 - 2025)
Cava's (CAVA) quarterly Change in Accured Expenses came in at -$2.4 million in Q4 2025, down 713.64% year-over-year from $396000.0 in Q4 2024, and down 135.38% quarter-over-quarter from $6.9 million in Q4 2025.
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Analysis
Cava (CAVA) Change in Accured Expenses (2022 - 2025) Analysis & Trends
Cava has disclosed Change in Accured Expenses across 4 years of filings, most recently posting -$2.4 million for Q4 2025.
- In Q4 2025, Change in Accured Expenses fell 713.64% year-over-year to -$2.4 million; the TTM figure through Dec 2025 stood at $4.8 million (down 55.34% YoY), while the FY2025 annual figure was $4.8 million, down 55.34% from the prior year.
- Change in Accured Expenses came in at -$2.4 million for Q4 2025 at Cava, down from $6.9 million in the prior quarter.
- In the past five years, Change in Accured Expenses ranged from a high of $11.1 million in Q3 2024 to a low of -$8.2 million in Q2 2025.
- Average Change in Accured Expenses over 4 years is $2.3 million, with a median of $2.6 million recorded in 2023.
- Year-over-year, Change in Accured Expenses soared 185.85% in 2024 and slumped 713.64% in 2025.
- Over 4 years, Change in Accured Expenses stood at -$4.6 million in 2022, then surged by 157.88% to $2.7 million in 2023, then sank by 85.26% to $396000.0 in 2024, then tumbled by 713.64% to -$2.4 million in 2025.
- Per Business Quant data, the three most recent Change in Accured Expenses figures were -$2.4 million in Q4 2025, $6.9 million in Q4 2025, and $8.6 million in Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | - |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 100.69 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 32.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 33.70 Mn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | -2.43 Mn |
| Oct 5, 2025 | 6.87 Mn |
| Jul 13, 2025 | 8.61 Mn |
| Apr 20, 2025 | -8.23 Mn |
| Dec 29, 2024 | 396,000.00 |
| Oct 6, 2024 | 4.37 Mn |
| Jul 14, 2024 | 11.11 Mn |
| Apr 21, 2024 | -5.09 Mn |
| Dec 31, 2023 | 2.69 Mn |
| Oct 1, 2023 | 2.49 Mn |
| Jul 9, 2023 | 3.89 Mn |
| Apr 16, 2023 | 10.06 Mn |
| Dec 25, 2022 | -4.64 Mn |
| Oct 2, 2022 | 2.01 Mn |
API Access
Cava Change in Accured 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=change-in-accured-expenses&ticker=CAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();