Cava (CAVA) Total Non-Current Liabilities (2022 - 2024)
Cava's (CAVA) quarterly Total Non-Current Liabilities came in at $474.1 million in Q4 2024, up 14.87% year-over-year from $412.7 million in Q4 2023, and up 2.38% quarter-over-quarter from $463.1 million in Q4 2024.
Cava (CAVA) Total Non-Current Liabilities (2022 - 2024) Analysis & Trends
Cava has disclosed Total Non-Current Liabilities across 3 years of filings, most recently posting $474.1 million for Q4 2024.
- In Q4 2024, Total Non-Current Liabilities rose 14.87% year-over-year to $474.1 million; the TTM figure through Dec 2024 stood at $474.1 million (up 14.87% YoY), while the FY2024 annual figure was $474.1 million, up 14.87% from the prior year.
- Total Non-Current Liabilities came in at $474.1 million for Q4 2024 at Cava, up from $463.1 million in the prior quarter.
- In the past five years, Total Non-Current Liabilities ranged from a high of $474.1 million in Q4 2024 to a low of $369.5 million in Q4 2022.
- Average Total Non-Current Liabilities over 3 years is $427.5 million, with a median of $421.6 million recorded in 2023.
- The largest YoY upside for Total Non-Current Liabilities was 14.87% in 2024 against a maximum downside of 6.98% in 2024.
- Over 3 years, Total Non-Current Liabilities stood at $369.5 million in 2022, then increased by 11.69% to $412.7 million in 2023, then rose by 14.87% to $474.1 million in 2024.
- Per Business Quant data, the three most recent Total Non-Current Liabilities figures were $474.1 million in Q4 2024, $463.1 million in Q4 2024, and $443.1 million in Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 60.27 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 | 6.58 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 1.88 Bn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2024 | 474.10 Mn |
| Oct 6, 2024 | 463.10 Mn |
| Jul 14, 2024 | 443.11 Mn |
| Apr 21, 2024 | 424.16 Mn |
| Dec 31, 2023 | 412.73 Mn |
| Oct 1, 2023 | 418.95 Mn |
| Jul 9, 2023 | 414.20 Mn |
| Dec 25, 2022 | 369.54 Mn |
Cava Total Non-Current 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-non-current-liabilities&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();