Jiayin Group Inc.: revenue

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. 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 2017-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

• CNY: 2017-01-01 to 2025-12-31.
• USD: 2019-01-01 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

• Jiayin Group Inc.: total assets
• Jiayin Group Inc.: total liabilities
• Jiayin Group Inc.: stockholders equity
• Jiayin Group Inc.: cash and cash equivalents
• Jiayin Group Inc.: net income or loss
• Jiayin Group Inc.: operating cash flow
• Jiayin Group Inc.: capital expenditure payments
• Jiayin Group Inc.: financing cash flow
• Jiayin Group Inc.: investing cash flow
• Jiayin Group Inc.: retained earnings or deficit
• Jiayin Group Inc.: basic weighted-average shares
• Jiayin Group Inc.: diluted weighted-average shares
• Jiayin Group Inc.: basic earnings per share
• Jiayin Group Inc.: diluted earnings per share
• Jiayin Group Inc.: income tax expense or benefit
• Jiayin Group Inc.: net property, plant and equipment
• Jiayin Group Inc.: share-based compensation expense
• Jiayin Group Inc.: operating income or loss
• Jiayin Group Inc.: common-stock repurchase payments
• Jiayin Group Inc.: research and development expense

Inspect the source

Entity

Jiayin Group Inc. / CIK 0001743102

Captured

2026-09-21T17:25:40.215Z

SEC response SHA-256

9f6d1f4982f6533507a5323aeb98b2307b40dfd82613e29c00a6a8f5c00439df

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/0001743102.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"])))