Big Digital Energy, Inc.: financing cash flow

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2012-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Big Digital Energy, Inc.: total assets
• Big Digital Energy, Inc.: total liabilities
• Big Digital Energy, Inc.: stockholders equity
• Big Digital Energy, Inc.: cash and cash equivalents
• Big Digital Energy, Inc.: net income or loss
• Big Digital Energy, Inc.: operating cash flow
• Big Digital Energy, Inc.: capital expenditure payments
• Big Digital Energy, Inc.: revenue
• Big Digital Energy, Inc.: investing cash flow
• Big Digital Energy, Inc.: retained earnings or deficit
• Big Digital Energy, Inc.: basic weighted-average shares
• Big Digital Energy, Inc.: diluted weighted-average shares
• Big Digital Energy, Inc.: basic earnings per share
• Big Digital Energy, Inc.: diluted earnings per share
• Big Digital Energy, Inc.: income tax expense or benefit
• Big Digital Energy, Inc.: net property, plant and equipment
• Big Digital Energy, Inc.: share-based compensation expense
• Big Digital Energy, Inc.: operating income or loss
• Big Digital Energy, Inc.: current assets
• Big Digital Energy, Inc.: interest expense
• Big Digital Energy, Inc.: current liabilities
• Big Digital Energy, Inc.: current accounts payable
• Big Digital Energy, Inc.: operating expenses
• Big Digital Energy, Inc.: gross profit
• Big Digital Energy, Inc.: cost of revenue
• Big Digital Energy, Inc.: selling, general and administrative expense
• Big Digital Energy, Inc.: research and development expense

Inspect the source

Entity

Big Digital Energy, Inc. / CIK 0001218683

Captured

2026-09-20T07:45:58.230Z

SEC response SHA-256

364b4077627daf261c9a8bc0e04c6a782bb5510beab3654355fb8ecd8f9bfeab

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/0001218683.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"])))