Cava (CAVA) Total Liabilities (2022 - 2026)
Cava's (CAVA) quarterly Total Liabilities came in at $658.5 million in Q3 2026, up 21.74% year-over-year from $540.9 million in Q3 2025, and up 13.46% quarter-over-quarter from $580.4 million in Q4 2025.
Cava (CAVA) Total Liabilities (2022 - 2026) Analysis & Trends
Cava has disclosed Total Liabilities across 5 years of filings, most recently posting $658.5 million for Q3 2026.
- In Q3 2026, Total Liabilities rose 21.74% year-over-year to $658.5 million; the TTM figure through Jul 2026 stood at $658.5 million (up 21.74% YoY), while the FY2025 annual figure was $580.4 million, up 22.41% from the prior year.
- Total Liabilities came in at $658.5 million for Q3 2026 at Cava, up from $580.4 million in the prior quarter.
- In the past five years, Total Liabilities ranged from a high of $658.5 million in Q3 2026 to a low of $370.1 million in Q4 2022.
- Average Total Liabilities over 5 years is $472.3 million, with a median of $447.1 million recorded in 2023.
- Year-over-year, Total Liabilities slipped 5.93% in 2024 and rose 22.41% in 2025.
- Over 5 years, Total Liabilities stood at $370.1 million in 2022, then advanced by 11.59% to $413.0 million in 2023, then increased by 14.81% to $474.1 million in 2024, then climbed by 22.41% to $580.4 million in 2025, then gained by 13.46% to $658.5 million in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $658.5 million in Q3 2026, $580.4 million in Q4 2025, and $553.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 35.96 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 6.66 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 2.09 Bn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn | 658.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 658.50 Mn |
| Dec 28, 2025 | 580.37 Mn |
| Oct 5, 2025 | 552.97 Mn |
| Jul 13, 2025 | 540.93 Mn |
| Apr 20, 2025 | 502.19 Mn |
| Dec 29, 2024 | 474.10 Mn |
| Oct 6, 2024 | 463.10 Mn |
| Jul 14, 2024 | 443.11 Mn |
| Apr 21, 2024 | 424.28 Mn |
| Dec 31, 2023 | 412.96 Mn |
| Oct 1, 2023 | 419.25 Mn |
| Jul 9, 2023 | 414.57 Mn |
| Apr 16, 2023 | 451.04 Mn |
| Dec 25, 2022 | 370.08 Mn |
| Oct 2, 2022 | 430.38 Mn |
| Jul 10, 2022 | 419.57 Mn |
Cava Total Liabilities 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=total-liabilities&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();