ALEXANDER TECH CORP.: retained earnings or deficit
Retained earnings or deficit for ALEXANDER TECH CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ALEXANDER TECH CORP. 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 2017-04-30 to 2025-04-30. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-04-30 | -810,851 | USD | 2025-07-18 | 10-K · 0001539497-25-001920 |
| At date | 2024-04-30 | -759,590 | USD | 2025-07-18 | 10-K · 0001539497-25-001920 |
| At date | 2023-04-30 | 698,246 | USD | 2024-10-07 | 10-K · 0001539497-24-002111 |
| At date | 2022-04-30 | -664,795 | USD | 2023-09-25 | 10-K · 0001539497-23-001643 |
| At date | 2021-04-30 | -614,137 | USD | 2023-03-16 | 10-K · 0001539497-23-000450 |
| At date | 2020-04-30 | -581,158 | USD | 2021-08-11 | 10-K · 0001539497-21-001202 |
| At date | 2019-04-30 | -551,484 | USD | 2020-08-13 | 10-K · 0001785982-20-000760 |
| At date | 2018-04-30 | -524,201 | USD | 2019-08-12 | 10-K · 0001493152-19-012063 |
| At date | 2017-04-30 | -482,413 | USD | 2018-08-13 | 10-K · 0001437749-18-015308 |
Related financial histories
- ALEXANDER TECH CORP.: total assets
- ALEXANDER TECH CORP.: total liabilities
- ALEXANDER TECH CORP.: stockholders equity
- ALEXANDER TECH CORP.: net income or loss
- ALEXANDER TECH CORP.: operating cash flow
- ALEXANDER TECH CORP.: financing cash flow
- ALEXANDER TECH CORP.: additional paid-in capital
- ALEXANDER TECH CORP.: current contract liabilities
- ALEXANDER TECH CORP.: pre-tax income or loss from continuing operations
- ALEXANDER TECH CORP.: profit or loss including noncontrolling interests
- ALEXANDER TECH CORP.: general and administrative expense
Inspect the source
- Entity
- ALEXANDER TECH CORP. / CIK 0001347491
- Captured
- 2026-09-21T17:17:56.090Z
- SEC response SHA-256
4f9b15305b85730c87b792d77edbd442813e79f797975536e82b262630e49dff
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/0001347491.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"])))