Acacia Research Corporation: investing cash flow

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Acacia Research Corporation / CIK 0000934549

Captured

2026-09-20T05:09:39.288Z

SEC response SHA-256

7c3303b801961af0b342c920832a116f1547b6db6a37d61c5e389d338a166aca

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/0000934549.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"])))