CAVA Group, Inc.: retained earnings or deficit
Retained earnings or deficit for CAVA Group, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All CAVA Group, Inc. financial histories
What this measure means
Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.
Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2022-12-25 to 2025-12-28. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-28 | -253,601,000 | USD | 2026-02-25 | 10-K · 0001628280-26-011296 |
| At date | 2024-12-29 | -317,344,000 | USD | 2026-02-25 | 10-K · 0001628280-26-011296 |
| At date | 2023-12-31 | -447,663,000 | USD | 2025-02-26 | 10-K · 0001628280-25-007882 |
| At date | 2022-12-25 | -460,943,000 | USD | 2024-02-27 | 10-K · 0001628280-24-007277 |
Related financial histories
- CAVA Group, Inc.: total assets
- CAVA Group, Inc.: total liabilities
- CAVA Group, Inc.: stockholders equity
- CAVA Group, Inc.: cash and cash equivalents
- CAVA Group, Inc.: net income or loss
- CAVA Group, Inc.: operating cash flow
- CAVA Group, Inc.: capital expenditure payments
- CAVA Group, Inc.: contract revenue excluding tax
- CAVA Group, Inc.: financing cash flow
- CAVA Group, Inc.: investing cash flow
- CAVA Group, Inc.: basic weighted-average shares
- CAVA Group, Inc.: diluted weighted-average shares
- CAVA Group, Inc.: basic earnings per share
- CAVA Group, Inc.: diluted earnings per share
- CAVA Group, Inc.: income tax expense or benefit
- CAVA Group, Inc.: net property, plant and equipment
- CAVA Group, Inc.: share-based compensation expense
- CAVA Group, Inc.: operating income or loss
- CAVA Group, Inc.: current assets
- CAVA Group, Inc.: current liabilities
- CAVA Group, Inc.: current accounts payable
- CAVA Group, Inc.: net current accounts receivable
- CAVA Group, Inc.: common-stock repurchase payments
- CAVA Group, Inc.: net inventory
- CAVA Group, Inc.: gross profit
- CAVA Group, Inc.: selling, general and administrative expense
Inspect the source
- Entity
- CAVA Group, Inc. / CIK 0001639438
- Captured
- 2026-09-21T17:21:34.807Z
- SEC response SHA-256
61247cb4a9deb29e6b2c68caec634b65555075353a1992939644e3878f429561
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001639438.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))