COLUMBUS MCKINNON CORP: 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 2009-04-01 to 2026-03-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

COLUMBUS MCKINNON CORP / CIK 0001005229

Captured

2026-09-19T11:15:42.271Z

SEC response SHA-256

9227dc8e684438747e823778c76b3f1713b66e565eebf536df4797f3cabebec9

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/0001005229.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"])))