Clearway Energy, Inc.: 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 2011-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Clearway Energy, Inc.: total assets
• Clearway Energy, Inc.: total liabilities
• Clearway Energy, Inc.: cash and cash equivalents
• Clearway Energy, Inc.: net income or loss
• Clearway Energy, Inc.: capital expenditure payments
• Clearway Energy, Inc.: revenue
• Clearway Energy, Inc.: financing cash flow
• Clearway Energy, Inc.: investing cash flow
• Clearway Energy, Inc.: retained earnings or deficit
• Clearway Energy, Inc.: basic earnings per share
• Clearway Energy, Inc.: diluted earnings per share
• Clearway Energy, Inc.: income tax expense or benefit
• Clearway Energy, Inc.: net property, plant and equipment
• Clearway Energy, Inc.: share-based compensation expense
• Clearway Energy, Inc.: operating income or loss
• Clearway Energy, Inc.: current assets
• Clearway Energy, Inc.: interest expense
• Clearway Energy, Inc.: current liabilities
• Clearway Energy, Inc.: current accounts payable
• Clearway Energy, Inc.: net finite-lived intangible assets
• Clearway Energy, Inc.: net current accounts receivable
• Clearway Energy, Inc.: operating expenses
• Clearway Energy, Inc.: net inventory
• Clearway Energy, Inc.: cost of revenue

Inspect the source

Entity

Clearway Energy, Inc. / CIK 0001567683

Captured

2026-09-20T09:20:49.702Z

SEC response SHA-256

9fb899fc3d0178263dd9cb3b26cb13519fcb8ab45771f49c5d82ee9ac1ae9dac

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/0001567683.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"])))