BGIN BLOCKCHAIN LIMITED: gross profit
Gross profit for BGIN BLOCKCHAIN LIMITED. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All BGIN BLOCKCHAIN LIMITED 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 2023-01-01 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 |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | -75,592,406 | USD | 2026-04-28 | 20-F · 0001213900-26-048532 |
| 2024-01-01 | 2024-12-31 | 127,685,910 | USD | 2026-04-28 | 20-F · 0001213900-26-048532 |
| 2023-01-01 | 2023-12-31 | 199,173,343 | USD | 2026-04-28 | 20-F · 0001213900-26-048532 |
Related financial histories
- BGIN BLOCKCHAIN LIMITED: net income or loss
- BGIN BLOCKCHAIN LIMITED: operating cash flow
- BGIN BLOCKCHAIN LIMITED: capital expenditure payments
- BGIN BLOCKCHAIN LIMITED: revenue
- BGIN BLOCKCHAIN LIMITED: financing cash flow
- BGIN BLOCKCHAIN LIMITED: investing cash flow
- BGIN BLOCKCHAIN LIMITED: basic weighted-average shares
- BGIN BLOCKCHAIN LIMITED: diluted weighted-average shares
- BGIN BLOCKCHAIN LIMITED: basic earnings per share
- BGIN BLOCKCHAIN LIMITED: diluted earnings per share
- BGIN BLOCKCHAIN LIMITED: income tax expense or benefit
- BGIN BLOCKCHAIN LIMITED: operating income or loss
- BGIN BLOCKCHAIN LIMITED: cost of revenue
- BGIN BLOCKCHAIN LIMITED: research and development expense
Inspect the source
- Entity
- BGIN BLOCKCHAIN LIMITED / CIK 0001945565
- Captured
- 2026-09-21T17:37:35.819Z
- SEC response SHA-256
5ed11d42cf127a5cd939f17ee7b6dafa6c98362b8601ad3fc9ef073c14599bba
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
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- 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/0001945565.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"])))