Fortress Investment Group LLC: revenue

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. 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 2016-12-31. The SEC response was captured on 2026-09-23.

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 Fortress Investment Group LLC histories

• Total assets
• Total liabilities
• Stockholders equity
• Cash and cash equivalents
• Net income or loss
• Capital expenditure payments
• Retained earnings or deficit
• Basic weighted-average shares
• Diluted weighted-average shares
• Basic earnings per share
• Diluted earnings per share
• Income tax expense or benefit
• Share-based compensation expense
• Interest expense
• Operating expenses
• Accumulated other comprehensive income or loss
• Total equity including noncontrolling interests
• Long-term debt
• Gross property, plant and equipment
• Accumulated depreciation on property, plant and equipment
• Net deferred tax assets
• Pre-tax income or loss from continuing operations
• Profit or loss including noncontrolling interests
• Comprehensive income or loss
• Net income available to common stockholders
• General and administrative expense
• Depreciation expense
• Amortization of intangible assets
• Nonoperating income or expense
• Current income tax expense or benefit
• Deferred income tax expense or benefit

Inspect the source

Entity

Fortress Investment Group LLC / CIK 0001380393

Captured

2026-09-23 02:52 UTC

SEC response SHA-256

9ba55be086eaaede7e9023860edcbc00018f175fe04cbd7fa53c2344c4c48115

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/0001380393.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"])))