WEIBO CORPORATION: nonoperating income or expense

What this measure means

Total nonoperating income or expense, which can include interest, investment results and other items. A positive value is not operating profit.

Exact concept: us-gaap:NonoperatingIncomeExpense. 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 2012-01-01 to 2019-12-31. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• WEIBO CORPORATION: total assets
• WEIBO CORPORATION: total liabilities
• WEIBO CORPORATION: stockholders equity
• WEIBO CORPORATION: cash and cash equivalents
• WEIBO CORPORATION: net income or loss
• WEIBO CORPORATION: operating cash flow
• WEIBO CORPORATION: capital expenditure payments
• WEIBO CORPORATION: financing cash flow
• WEIBO CORPORATION: investing cash flow
• WEIBO CORPORATION: retained earnings or deficit
• WEIBO CORPORATION: basic weighted-average shares
• WEIBO CORPORATION: diluted weighted-average shares
• WEIBO CORPORATION: basic earnings per share
• WEIBO CORPORATION: diluted earnings per share
• WEIBO CORPORATION: income tax expense or benefit
• WEIBO CORPORATION: net property, plant and equipment
• WEIBO CORPORATION: share-based compensation expense
• WEIBO CORPORATION: operating income or loss
• WEIBO CORPORATION: current assets
• WEIBO CORPORATION: interest expense
• WEIBO CORPORATION: current liabilities
• WEIBO CORPORATION: current accounts payable
• WEIBO CORPORATION: goodwill carrying amount
• WEIBO CORPORATION: net finite-lived intangible assets
• WEIBO CORPORATION: net current accounts receivable
• WEIBO CORPORATION: research and development expense
• WEIBO CORPORATION: common shares outstanding
• WEIBO CORPORATION: cash including restricted cash
• WEIBO CORPORATION: additional paid-in capital
• WEIBO CORPORATION: accumulated other comprehensive income or loss
• WEIBO CORPORATION: total equity including noncontrolling interests
• WEIBO CORPORATION: operating lease right-of-use asset
• WEIBO CORPORATION: operating lease liability
• WEIBO CORPORATION: long-term debt
• WEIBO CORPORATION: gross property, plant and equipment
• WEIBO CORPORATION: accumulated depreciation on property, plant and equipment
• WEIBO CORPORATION: net intangible assets excluding goodwill
• WEIBO CORPORATION: other noncurrent assets
• WEIBO CORPORATION: other noncurrent liabilities
• WEIBO CORPORATION: accrued current liabilities
• WEIBO CORPORATION: prepaid expenses and other current assets
• WEIBO CORPORATION: current contract liabilities
• WEIBO CORPORATION: net deferred tax assets
• WEIBO CORPORATION: net deferred tax liabilities
• WEIBO CORPORATION: pre-tax income or loss from continuing operations
• WEIBO CORPORATION: profit or loss including noncontrolling interests
• WEIBO CORPORATION: comprehensive income or loss
• WEIBO CORPORATION: net income available to common stockholders
• WEIBO CORPORATION: general and administrative expense
• WEIBO CORPORATION: depreciation expense
• WEIBO CORPORATION: amortization of intangible assets
• WEIBO CORPORATION: current income tax expense or benefit
• WEIBO CORPORATION: deferred income tax expense or benefit
• WEIBO CORPORATION: interest paid, net
• WEIBO CORPORATION: income taxes paid, net
• WEIBO CORPORATION: operating lease payments
• WEIBO CORPORATION: change in accounts receivable
• WEIBO CORPORATION: change in accounts payable

Inspect the source

Entity

WEIBO CORPORATION / CIK 0001595761

Captured

2026-09-20T09:24:41.304Z

SEC response SHA-256

db581c9736ae54347901acd5c0aea6a9a4ab90ba0ab786697683af3fa01dc90d

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/0001595761.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"])))