MONEYLION INC.: retained earnings or deficit
Retained earnings or deficit for MONEYLION INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All MONEYLION 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 2020-12-31 to 2024-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2024-12-31 | -693,573,000 | USD | 2025-02-25 | 10-K · 0000950170-25-026108 |
| At date | 2023-12-31 | -702,719,000 | USD | 2025-02-25 | 10-K · 0000950170-25-026108 |
| At date | 2022-12-31 | -657,979,000 | USD | 2024-03-07 | 10-K · 0000950170-24-027617 |
| At date | 2021-12-31 | -469,873,000 | USD | 2023-03-16 | 10-K · 0000950170-23-008455 |
| At date | 2020-12-31 | -327,629,000 | USD | 2022-08-11 | 10-K/A · 0001213900-22-046590 |
Related financial histories
- MONEYLION INC.: total assets
- MONEYLION INC.: total liabilities
- MONEYLION INC.: stockholders equity
- MONEYLION INC.: cash and cash equivalents
- MONEYLION INC.: net income or loss
- MONEYLION INC.: operating cash flow
- MONEYLION INC.: capital expenditure payments
- MONEYLION INC.: revenue
- MONEYLION INC.: financing cash flow
- MONEYLION INC.: investing cash flow
- MONEYLION INC.: basic weighted-average shares
- MONEYLION INC.: diluted weighted-average shares
- MONEYLION INC.: basic earnings per share
- MONEYLION INC.: diluted earnings per share
- MONEYLION INC.: income tax expense or benefit
- MONEYLION INC.: net property, plant and equipment
- MONEYLION INC.: share-based compensation expense
- MONEYLION INC.: operating income or loss
- MONEYLION INC.: interest expense
- MONEYLION INC.: goodwill carrying amount
- MONEYLION INC.: net finite-lived intangible assets
- MONEYLION INC.: operating expenses
Inspect the source
- Entity
- MONEYLION INC. / CIK 0001807846
- Captured
- 2026-09-21T17:28:15.529Z
- SEC response SHA-256
d9243f439d8da4e14c039ab464abaaa6a9fb43bd002acf57f0dd2e3022a68c10
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/0001807846.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"])))