RAYONIER 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 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

RAYONIER INC. / CIK 0000052827

Captured

2026-09-19T14:48:21.078Z

SEC response SHA-256

6159775b8f3807f8a585d924f0dea3fee608e332d73a47a8c9730a06e6f7828e

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/0000052827.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"])))