THE TORO COMPANY: 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 2007-11-01 to 2025-10-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

THE TORO COMPANY / CIK 0000737758

Captured

2026-09-19T15:01:09.593Z

SEC response SHA-256

7172b97c5b02bcdb756361884215ff1dea80d6ac0f12f263d998fffb970bbef1

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/0000737758.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"])))