The Marzetti Company: operating cash flow

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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

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

Inspect the source

Entity

The Marzetti Company / CIK 0000057515

Captured

2026-09-19T14:48:46.553Z

SEC response SHA-256

76e7c3310e547c1b66efaa0075d76cdb9a193cd1e3c69d93990744b5f0dd9694

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/0000057515.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"])))