Seneca Foods Corp: net inventory

What this measure means

Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.

Exact concept: us-gaap:InventoryNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2011-03-31 to 2025-03-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• Seneca Foods Corp: total assets
• Seneca Foods Corp: total liabilities
• Seneca Foods Corp: stockholders equity
• Seneca Foods Corp: cash and cash equivalents
• Seneca Foods Corp: net income or loss
• Seneca Foods Corp: operating cash flow
• Seneca Foods Corp: capital expenditure payments
• Seneca Foods Corp: revenue
• Seneca Foods Corp: financing cash flow
• Seneca Foods Corp: investing cash flow
• Seneca Foods Corp: retained earnings or deficit
• Seneca Foods Corp: basic weighted-average shares
• Seneca Foods Corp: diluted weighted-average shares
• Seneca Foods Corp: basic earnings per share
• Seneca Foods Corp: diluted earnings per share
• Seneca Foods Corp: income tax expense or benefit
• Seneca Foods Corp: net property, plant and equipment
• Seneca Foods Corp: share-based compensation expense
• Seneca Foods Corp: operating income or loss
• Seneca Foods Corp: current assets
• Seneca Foods Corp: interest expense
• Seneca Foods Corp: current liabilities
• Seneca Foods Corp: current accounts payable
• Seneca Foods Corp: net current accounts receivable
• Seneca Foods Corp: common-stock repurchase payments
• Seneca Foods Corp: operating expenses
• Seneca Foods Corp: gross profit
• Seneca Foods Corp: selling, general and administrative expense

Inspect the source

Entity

Seneca Foods Corp / CIK 0000088948

Captured

2026-09-19T14:52:14.500Z

SEC response SHA-256

eabed3d9079c87bbe2b466b9e49cd61520aadb5794189a6e48c72b0e86ba627d

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/0000088948.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"])))