Regis Corporation: 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 2008-07-01 to 2026-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Regis Corporation / CIK 0000716643

Captured

2026-09-19T14:59:06.547Z

SEC response SHA-256

6ff4b14d2e49646674709cddf9c04e56fdb591cc9b129e31a637aca669ff29df

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/0000716643.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"])))