Cava (CAVA) Net Cash Flow (2022 - 2025)
Cava's (CAVA) quarterly Net Cash Flow came in at -$1.7 million in Q4 2025, down 58.94% year-over-year from -$4.0 million in Q4 2024, and up 70.49% quarter-over-quarter from -$5.6 million in Q4 2025.
Cava (CAVA) Net Cash Flow (2022 - 2025) Analysis & Trends
Cava has disclosed Net Cash Flow across 4 years of filings, most recently posting -$1.7 million for Q4 2025.
- In Q4 2025, Net Cash Flow fell 58.94% year-over-year to -$1.7 million; the TTM figure through Dec 2025 stood at -$83.2 million (down 346.95% YoY), while the FY2025 annual figure was -$83.2 million, down 346.95% from the prior year.
- Net Cash Flow came in at -$1.7 million for Q4 2025 at Cava, up from -$5.6 million in the prior quarter.
- In the past five years, Net Cash Flow ranged from a high of $330.1 million in Q3 2023 to a low of -$76.8 million in Q2 2025.
- Average Net Cash Flow over 4 years is $13.7 million, with a median of -$4.5 million recorded in 2024.
- Year-over-year, Net Cash Flow surged 288.11% in 2024 and tumbled 2218.63% in 2025.
- Over 4 years, Net Cash Flow stood at -$33.0 million in 2022, then jumped by 75.88% to -$8.0 million in 2023, then soared by 86.95% to -$1.0 million in 2024, then sank by 58.94% to -$1.7 million in 2025.
- Per Business Quant data, the three most recent Net Cash Flow figures were -$1.7 million in Q4 2025, -$5.6 million in Q4 2025, and $822000.0 in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | -448.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.35 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | -18.64 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 36.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 56.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | -18.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 56.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 8.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | -12.13 Mn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | -1.65 Mn |
| Oct 5, 2025 | -5.60 Mn |
| Jul 13, 2025 | 822,000.00 |
| Apr 20, 2025 | -76.77 Mn |
| Dec 29, 2024 | -1.04 Mn |
| Oct 6, 2024 | 23.41 Mn |
| Jul 14, 2024 | 14.63 Mn |
| Apr 21, 2024 | -3.31 Mn |
| Dec 31, 2023 | -7.97 Mn |
| Oct 1, 2023 | -12.45 Mn |
| Jul 9, 2023 | 330.13 Mn |
| Apr 16, 2023 | -16.41 Mn |
| Dec 25, 2022 | -33.04 Mn |
| Oct 2, 2022 | -19.49 Mn |
Cava Net Cash Flow 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=net-cash-flow&ticker=CAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();