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Intchains Group Ltd: pre-tax income or loss from continuing operations

Pre-tax income or loss from continuing operations for Intchains Group Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Intchains Group Ltd financial histories

What this measure means

Income or loss from continuing operations before income taxes and noncontrolling interests. It excludes discontinued operations and is not net income.

Exact concept: us-gaap:IncomeLossFromContinuingOperationsBeforeIncomeTaxesExtraordinaryItemsNoncontrollingInterest. 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 2020-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Pre-tax income or loss from continuing operations in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-83,855,000CNY2026-04-1320-F · 0001493152-26-016360
2024-01-012024-12-3150,177,000CNY2026-04-1320-F · 0001493152-26-016360
2023-01-012023-12-31-35,551,000CNY2026-04-1320-F · 0001493152-26-016360
2022-01-012022-12-31367,057,000CNY2025-04-3020-F · 0001193125-25-105589
2021-01-012021-12-31450,144,000CNY2024-03-1820-F · 0001193125-24-070138
2020-01-012020-12-318,247,000CNY2023-04-2820-F · 0001193125-23-123984
2025-01-012025-12-31-11,992,000USD2026-04-1320-F · 0001493152-26-016360
2024-01-012024-12-316,873,000USD2025-04-3020-F · 0001193125-25-105589
2023-01-012023-12-31-5,009,000USD2024-03-1820-F · 0001193125-24-070138
2022-01-012022-12-3153,217,000USD2023-04-2820-F · 0001193125-23-123984

Related financial histories

Inspect the source

Entity
Intchains Group Ltd / CIK 0001895597
Captured
2026-09-21T17:40:35.103Z
SEC response SHA-256
abeb5b8521b8d557b46f6e39971b46384f2827e84f5c93023dd4e964b9da29a2

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001895597.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"])))