WEIBO CORPORATION: net property, plant and equipment

What this measure means

Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.

Exact concept: us-gaap:PropertyPlantAndEquipmentNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2013-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

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: 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

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"])))