WOLVERINE WORLD WIDE, INC.: investing cash flow

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2007-12-30 to 2026-01-03. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

WOLVERINE WORLD WIDE, INC. / CIK 0000110471

Captured

2026-09-19T14:55:09.180Z

SEC response SHA-256

af858f36757911ebb8d46d314fc98b3172793d2efbb575f61051cb3277e7e969

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/0000110471.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"])))