INTREPID POTASH, INC.: 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 2009-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

INTREPID POTASH, INC. / CIK 0001421461

Captured

2026-09-20T08:03:16.178Z

SEC response SHA-256

1c1d1981d1772ecd01b56c6cf6a0698124cca2fcc290fb709834ba19a7b9bb02

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/0001421461.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"])))