XPENG 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 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 2020-12-31. This unit’s selected history ends more than two years before capture.

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

• XPENG INC.: total assets
• XPENG INC.: total liabilities
• XPENG INC.: stockholders equity
• XPENG INC.: cash and cash equivalents
• XPENG INC.: net income or loss
• XPENG INC.: operating cash flow
• XPENG INC.: capital expenditure payments
• XPENG INC.: financing cash flow
• XPENG INC.: investing cash flow
• XPENG INC.: retained earnings or deficit
• XPENG INC.: basic weighted-average shares
• XPENG INC.: diluted weighted-average shares
• XPENG INC.: basic earnings per share
• XPENG INC.: diluted earnings per share
• XPENG INC.: income tax expense or benefit
• XPENG INC.: net property, plant and equipment
• XPENG INC.: share-based compensation expense
• XPENG INC.: operating income or loss
• XPENG INC.: current assets
• XPENG INC.: interest expense
• XPENG INC.: current liabilities
• XPENG INC.: current accounts payable
• XPENG INC.: net finite-lived intangible assets
• XPENG INC.: net current accounts receivable
• XPENG INC.: operating expenses
• XPENG INC.: net inventory
• XPENG INC.: gross profit
• XPENG INC.: selling, general and administrative expense
• XPENG INC.: research and development expense

Inspect the source

Entity

XPENG INC. / CIK 0001810997

Captured

2026-09-21T17:33:48.170Z

SEC response SHA-256

ce70ccb5ae09483dd25608b2fd009263e4b2fa58225413131d31434963e6c591

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/0001810997.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"])))