WEIS MARKETS, INC: 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 2008-12-28 to 2025-12-27. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

WEIS MARKETS, INC / CIK 0000105418

Captured

2026-09-19T14:54:33.396Z

SEC response SHA-256

541b42abf646b70212a5be69c275c73b3409f259041c76d97babc5aec2a84049

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/0000105418.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"])))