Mega Matrix Inc: retained earnings or deficit
Retained earnings or deficit for Mega Matrix Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Mega Matrix 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 2023-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | -60,633,900 | USD | 2026-04-16 | 20-F · 0001213900-26-044335 |
| At date | 2024-12-31 | -26,337,600 | USD | 2026-04-16 | 20-F · 0001213900-26-044335 |
| At date | 2023-12-31 | -17,454,200 | USD | 2025-03-28 | 20-F · 0001013762-25-003608 |
Related financial histories
- Mega Matrix Inc: total assets
- Mega Matrix Inc: total liabilities
- Mega Matrix Inc: stockholders equity
- Mega Matrix Inc: cash and cash equivalents
- Mega Matrix Inc: net income or loss
- Mega Matrix Inc: operating cash flow
- Mega Matrix Inc: financing cash flow
- Mega Matrix Inc: investing cash flow
- Mega Matrix Inc: basic weighted-average shares
- Mega Matrix Inc: diluted weighted-average shares
- Mega Matrix Inc: basic earnings per share
- Mega Matrix Inc: diluted earnings per share
- Mega Matrix Inc: income tax expense or benefit
- Mega Matrix Inc: share-based compensation expense
- Mega Matrix Inc: operating income or loss
- Mega Matrix Inc: current assets
- Mega Matrix Inc: operating expenses
Inspect the source
- Entity
- Mega Matrix Inc / CIK 0001953021
- Captured
- 2026-09-21T17:37:58.722Z
- SEC response SHA-256
da2cf78e25f968f0d35f61026884becb3880c22829436163da50544e60bac4be
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/0001953021.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"])))