AIFU Inc.: net income or loss

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Coverage by original unit

• CNY: 2008-01-01 to 2025-12-31.
• USD: 2010-01-01 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

• AIFU Inc.: total assets
• AIFU Inc.: total liabilities
• AIFU Inc.: stockholders equity
• AIFU Inc.: cash and cash equivalents
• AIFU Inc.: operating cash flow
• AIFU Inc.: capital expenditure payments
• AIFU Inc.: revenue
• AIFU Inc.: financing cash flow
• AIFU Inc.: investing cash flow
• AIFU Inc.: retained earnings or deficit
• AIFU Inc.: basic weighted-average shares
• AIFU Inc.: diluted weighted-average shares
• AIFU Inc.: basic earnings per share
• AIFU Inc.: diluted earnings per share
• AIFU Inc.: income tax expense or benefit
• AIFU Inc.: net property, plant and equipment
• AIFU Inc.: share-based compensation expense
• AIFU Inc.: operating income or loss
• AIFU Inc.: current assets
• AIFU Inc.: interest expense
• AIFU Inc.: current liabilities
• AIFU Inc.: current accounts payable
• AIFU Inc.: goodwill carrying amount
• AIFU Inc.: net current accounts receivable
• AIFU Inc.: common-stock repurchase payments
• AIFU Inc.: operating expenses
• AIFU Inc.: cost of revenue

Inspect the source

Entity

AIFU Inc. / CIK 0001413855

Captured

2026-09-20T08:02:13.066Z

SEC response SHA-256

de809a91fb96f87453fdffbc3be5f05e864eb105977140573ea436c4d93d717a

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/0001413855.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"])))