Kaixin Holdings: 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 2017-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• Kaixin Holdings: total assets
• Kaixin Holdings: total liabilities
• Kaixin Holdings: stockholders equity
• Kaixin Holdings: cash and cash equivalents
• Kaixin Holdings: net income or loss
• Kaixin Holdings: operating cash flow
• Kaixin Holdings: capital expenditure payments
• Kaixin Holdings: contract revenue excluding tax
• Kaixin Holdings: financing cash flow
• Kaixin Holdings: investing cash flow
• Kaixin Holdings: retained earnings or deficit
• Kaixin Holdings: basic weighted-average shares
• Kaixin Holdings: diluted weighted-average shares
• Kaixin Holdings: basic earnings per share
• Kaixin Holdings: diluted earnings per share
• Kaixin Holdings: income tax expense or benefit
• Kaixin Holdings: net property, plant and equipment
• Kaixin Holdings: operating income or loss
• Kaixin Holdings: current assets
• Kaixin Holdings: interest expense
• Kaixin Holdings: current liabilities
• Kaixin Holdings: current accounts payable
• Kaixin Holdings: goodwill carrying amount
• Kaixin Holdings: net finite-lived intangible assets
• Kaixin Holdings: operating expenses
• Kaixin Holdings: net inventory
• Kaixin Holdings: gross profit
• Kaixin Holdings: cost of revenue
• Kaixin Holdings: research and development expense

Inspect the source

Entity

Kaixin Holdings / CIK 0001713539

Captured

2026-09-19T11:20:39.354Z

SEC response SHA-256

fa0add774486428b57169ac6c8c207bff17efc3ed77c59813ae0b9c8ac4bb9c2

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/0001713539.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"])))