Target 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 2007-02-04 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Target Corporation / CIK 0000027419

Captured

2026-09-19T14:45:49.132Z

SEC response SHA-256

eb15a2cd524e99ff27675db78840d039ec4a68b9cc2dcb10accbcb299933a487

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/0000027419.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"])))