NIO Inc.: share-based compensation expense

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2016-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Coverage by original unit

• CNY: 2016-01-01 to 2025-12-31.
• USD: 2018-01-01 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

• NIO Inc.: total assets
• NIO Inc.: total liabilities
• NIO Inc.: stockholders equity
• NIO Inc.: cash and cash equivalents
• NIO Inc.: operating cash flow
• NIO Inc.: revenue
• NIO Inc.: contract revenue excluding tax
• NIO Inc.: financing cash flow
• NIO Inc.: investing cash flow
• NIO Inc.: retained earnings or deficit
• NIO Inc.: basic weighted-average shares
• NIO Inc.: diluted weighted-average shares
• NIO Inc.: basic earnings per share
• NIO Inc.: diluted earnings per share
• NIO Inc.: income tax expense or benefit
• NIO Inc.: net property, plant and equipment
• NIO Inc.: operating income or loss
• NIO Inc.: current assets
• NIO Inc.: interest expense
• NIO Inc.: current liabilities
• NIO Inc.: current accounts payable
• NIO Inc.: net current accounts receivable
• NIO Inc.: operating expenses
• NIO Inc.: net inventory
• NIO Inc.: gross profit
• NIO Inc.: selling, general and administrative expense
• NIO Inc.: research and development expense

Inspect the source

Entity

NIO Inc. / CIK 0001736541

Captured

2026-09-21T17:28:11.412Z

SEC response SHA-256

5ed91676590137cad0cb974b9a4cd2105dec2f0b482f0cbd897934b145e6e66e

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/0001736541.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"])))