ENIGMATIG LTD: gross profit
Gross profit for ENIGMATIG LTD. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ENIGMATIG LTD financial histories
What this measure means
Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.
Exact concept: us-gaap:GrossProfit. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2022-10-01 to 2025-09-30. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-10-01 | 2025-09-30 | 3,060,777 | USD | 2026-02-17 | 20-F · 0001493152-26-006963 |
| 2023-10-01 | 2024-09-30 | 2,663,727 | USD | 2026-02-17 | 20-F · 0001493152-26-006963 |
| 2022-10-01 | 2023-09-30 | 3,134,816 | USD | 2026-02-17 | 20-F · 0001493152-26-006963 |
Related financial histories
- ENIGMATIG LTD: total assets
- ENIGMATIG LTD: stockholders equity
- ENIGMATIG LTD: net income or loss
- ENIGMATIG LTD: operating cash flow
- ENIGMATIG LTD: capital expenditure payments
- ENIGMATIG LTD: contract revenue excluding tax
- ENIGMATIG LTD: financing cash flow
- ENIGMATIG LTD: investing cash flow
- ENIGMATIG LTD: basic weighted-average shares
- ENIGMATIG LTD: diluted weighted-average shares
- ENIGMATIG LTD: basic earnings per share
- ENIGMATIG LTD: diluted earnings per share
- ENIGMATIG LTD: income tax expense or benefit
- ENIGMATIG LTD: operating income or loss
- ENIGMATIG LTD: operating expenses
Inspect the source
- Entity
- ENIGMATIG LTD / CIK 0001982961
- Captured
- 2026-09-21T17:37:40.688Z
- SEC response SHA-256
13b9b86cf1552690674fae6ca673412d01fb3979505303284b8a94ba78b17df7
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/0001982961.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"])))