Sea Limited: current liabilities

What this measure means

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

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

Selected filing history

Related financial histories

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

Inspect the source

Entity

Sea Limited / CIK 0001703399

Captured

2026-09-21T17:26:03.054Z

SEC response SHA-256

9a68906218d65f8ae8709864ba76513d2267d5d2d13ffbcaea566b627de396fd

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/0001703399.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"])))