Gamehaus Holdings Inc.: stockholders equity
Stockholders equity for Gamehaus Holdings Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Gamehaus Holdings Inc. financial histories
What this measure means
The reported residual interest after liabilities. It is an accounting amount, not market capitalization.
Exact concept: us-gaap:StockholdersEquity. 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 2023-06-30 to 2025-06-30. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-06-30 | 33,226,337 | USD | 2025-10-23 | 20-F · 0001493152-25-019002 |
| At date | 2024-06-30 | 34,017,007 | USD | 2025-10-23 | 20-F · 0001493152-25-019002 |
| At date | 2023-06-30 | 25,875,288 | USD | 2025-01-30 | 20-F · 0001829126-25-000565 |
Related financial histories
- Gamehaus Holdings Inc.: total assets
- Gamehaus Holdings Inc.: total liabilities
- Gamehaus Holdings Inc.: cash and cash equivalents
- Gamehaus Holdings Inc.: net income or loss
- Gamehaus Holdings Inc.: operating cash flow
- Gamehaus Holdings Inc.: capital expenditure payments
- Gamehaus Holdings Inc.: revenue
- Gamehaus Holdings Inc.: financing cash flow
- Gamehaus Holdings Inc.: investing cash flow
- Gamehaus Holdings Inc.: retained earnings or deficit
- Gamehaus Holdings Inc.: basic weighted-average shares
- Gamehaus Holdings Inc.: diluted weighted-average shares
- Gamehaus Holdings Inc.: basic earnings per share
- Gamehaus Holdings Inc.: diluted earnings per share
- Gamehaus Holdings Inc.: income tax expense or benefit
- Gamehaus Holdings Inc.: net property, plant and equipment
- Gamehaus Holdings Inc.: operating income or loss
- Gamehaus Holdings Inc.: current assets
- Gamehaus Holdings Inc.: current liabilities
- Gamehaus Holdings Inc.: current accounts payable
- Gamehaus Holdings Inc.: net finite-lived intangible assets
- Gamehaus Holdings Inc.: net current accounts receivable
- Gamehaus Holdings Inc.: cost of revenue
- Gamehaus Holdings Inc.: research and development expense
Inspect the source
- Entity
- Gamehaus Holdings Inc. / CIK 0002000530
- Captured
- 2026-09-21T17:38:22.311Z
- SEC response SHA-256
e5d8119029b02b598f35a01628920fb5e38a828799c365bf4e0a548ba1a5c6cb
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/0002000530.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"])))