iHuman Inc.: income tax expense or benefit

What this measure means

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

Exact concept: us-gaap:IncomeTaxExpenseBenefit. 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 2018-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

• CNY: 2018-01-01 to 2025-12-31.
• USD: 2020-01-01 to 2025-12-31.

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

Related financial histories

• iHuman Inc.: total assets
• iHuman Inc.: total liabilities
• iHuman Inc.: stockholders equity
• iHuman Inc.: cash and cash equivalents
• iHuman Inc.: net income or loss
• iHuman Inc.: operating cash flow
• iHuman Inc.: contract revenue excluding tax
• iHuman Inc.: financing cash flow
• iHuman Inc.: investing cash flow
• iHuman Inc.: retained earnings or deficit
• iHuman Inc.: basic weighted-average shares
• iHuman Inc.: diluted weighted-average shares
• iHuman Inc.: basic earnings per share
• iHuman Inc.: diluted earnings per share
• iHuman Inc.: net property, plant and equipment
• iHuman Inc.: share-based compensation expense
• iHuman Inc.: operating income or loss
• iHuman Inc.: current assets
• iHuman Inc.: current liabilities
• iHuman Inc.: current accounts payable
• iHuman Inc.: net finite-lived intangible assets
• iHuman Inc.: net current accounts receivable
• iHuman Inc.: common-stock repurchase payments
• iHuman Inc.: operating expenses
• iHuman Inc.: net inventory
• iHuman Inc.: gross profit
• iHuman Inc.: cost of revenue
• iHuman Inc.: research and development expense

Inspect the source

Entity

iHuman Inc. / CIK 0001814423

Captured

2026-09-21T17:34:05.170Z

SEC response SHA-256

5cefede9b703860918fec9c9f2914792538ffb3f3090603ac9911bc5261aee48

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

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001814423.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"])))