GOLAR LNG LIMITED: operating cash flow

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2009-01-01 to 2020-12-31. 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

• GOLAR LNG LIMITED: total assets
• GOLAR LNG LIMITED: total liabilities
• GOLAR LNG LIMITED: stockholders equity
• GOLAR LNG LIMITED: cash and cash equivalents
• GOLAR LNG LIMITED: net income or loss
• GOLAR LNG LIMITED: revenue
• GOLAR LNG LIMITED: contract revenue excluding tax
• GOLAR LNG LIMITED: financing cash flow
• GOLAR LNG LIMITED: investing cash flow
• GOLAR LNG LIMITED: retained earnings or deficit
• GOLAR LNG LIMITED: basic weighted-average shares
• GOLAR LNG LIMITED: diluted weighted-average shares
• GOLAR LNG LIMITED: basic earnings per share
• GOLAR LNG LIMITED: diluted earnings per share
• GOLAR LNG LIMITED: income tax expense or benefit
• GOLAR LNG LIMITED: net property, plant and equipment
• GOLAR LNG LIMITED: operating income or loss
• GOLAR LNG LIMITED: current assets
• GOLAR LNG LIMITED: interest expense
• GOLAR LNG LIMITED: current liabilities
• GOLAR LNG LIMITED: current accounts payable
• GOLAR LNG LIMITED: common-stock repurchase payments
• GOLAR LNG LIMITED: operating expenses
• GOLAR LNG LIMITED: net inventory
• GOLAR LNG LIMITED: research and development expense

Inspect the source

Entity

GOLAR LNG LIMITED / CIK 0001207179

Captured

2026-09-20T07:45:40.890Z

SEC response SHA-256

f9e6396b4fa4c1de9b402625ae8c492b9968a1e3db3b9d1578eb2b99a3488359

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/0001207179.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"])))