Bollinger Innovations, 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 2011-01-01 to 2024-09-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Bollinger Innovations, Inc.: total assets
• Bollinger Innovations, Inc.: total liabilities
• Bollinger Innovations, Inc.: stockholders equity
• Bollinger Innovations, Inc.: cash and cash equivalents
• Bollinger Innovations, Inc.: net income or loss
• Bollinger Innovations, Inc.: operating cash flow
• Bollinger Innovations, Inc.: capital expenditure payments
• Bollinger Innovations, Inc.: revenue
• Bollinger Innovations, Inc.: investing cash flow
• Bollinger Innovations, Inc.: retained earnings or deficit
• Bollinger Innovations, Inc.: basic weighted-average shares
• Bollinger Innovations, Inc.: diluted weighted-average shares
• Bollinger Innovations, Inc.: basic earnings per share
• Bollinger Innovations, Inc.: diluted earnings per share
• Bollinger Innovations, Inc.: income tax expense or benefit
• Bollinger Innovations, Inc.: net property, plant and equipment
• Bollinger Innovations, Inc.: share-based compensation expense
• Bollinger Innovations, Inc.: operating income or loss
• Bollinger Innovations, Inc.: current assets
• Bollinger Innovations, Inc.: interest expense
• Bollinger Innovations, Inc.: current liabilities
• Bollinger Innovations, Inc.: current accounts payable
• Bollinger Innovations, Inc.: goodwill carrying amount
• Bollinger Innovations, Inc.: net finite-lived intangible assets
• Bollinger Innovations, Inc.: net current accounts receivable
• Bollinger Innovations, Inc.: common-stock repurchase payments
• Bollinger Innovations, Inc.: operating expenses
• Bollinger Innovations, Inc.: gross profit
• Bollinger Innovations, Inc.: selling, general and administrative expense
• Bollinger Innovations, Inc.: research and development expense

Inspect the source

Entity

Bollinger Innovations, Inc. / CIK 0001499961

Captured

2026-09-20T09:11:27.841Z

SEC response SHA-256

a44ac6a47883cf44d3fbdfd7523855f0a94a150d7f993b37cf87802783e81204

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/0001499961.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"])))