Cava (CAVA) Receivables (2022 - 2026)
Cava's (CAVA) quarterly Receivables came in at $20.6 million in Q3 2026, up 24.41% year-over-year from $16.5 million in Q3 2025, and up 116.73% quarter-over-quarter from $9.5 million in Q4 2025.
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Analysis
Cava (CAVA) Receivables (2022 - 2026) Analysis & Trends
Cava has disclosed Receivables across 5 years of filings, most recently posting $20.6 million for Q3 2026.
- In Q3 2026, Receivables rose 24.41% year-over-year to $20.6 million; the TTM figure through Jul 2026 stood at $20.6 million (up 24.41% YoY), while the FY2025 annual figure was $19.0 million, up 46.11% from the prior year.
- Receivables came in at $20.6 million for Q3 2026 at Cava, up from $9.5 million in the prior quarter.
- In the past five years, Receivables ranged from a high of $20.6 million in Q3 2026 to a low of $2.8 million in Q4 2022.
- Average Receivables over 5 years is $12.0 million, with a median of $12.7 million recorded in 2023.
- Year-over-year, Receivables soared 54.82% in 2023 and gained 4.0% in 2024.
- Over 5 years, Receivables stood at $2.8 million in 2022, then soared by 54.82% to $4.4 million in 2023, then surged by 43.16% to $6.3 million in 2024, then surged by 51.2% to $9.5 million in 2025, then jumped by 116.73% to $20.6 million in 2026.
- Per Business Quant data, the three most recent Receivables figures were $20.6 million in Q3 2026, $9.5 million in Q4 2025, and $17.2 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 100.31 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 136.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 74.14 Mn |
| 10 | Cava | 6.20 Bn | 5.77 Bn | 95.58 Mn | 20.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 12, 2026 | 20.58 Mn |
| Dec 28, 2025 | 9.49 Mn |
| Oct 5, 2025 | 17.21 Mn |
| Jul 13, 2025 | 16.54 Mn |
| Apr 20, 2025 | 15.92 Mn |
| Dec 29, 2024 | 6.28 Mn |
| Oct 6, 2024 | 13.20 Mn |
| Jul 14, 2024 | 13.89 Mn |
| Apr 21, 2024 | 11.73 Mn |
| Dec 31, 2023 | 4.39 Mn |
| Oct 1, 2023 | 12.69 Mn |
| Jul 9, 2023 | 11.88 Mn |
| Dec 25, 2022 | 2.83 Mn |
API Access
Cava Receivables 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=receivables&ticker=CAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();