FREIGHTCAR AMERICA, INC.: net property, plant and equipment

What this measure means

Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.

Exact concept: us-gaap:PropertyPlantAndEquipmentNet. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• FREIGHTCAR AMERICA, INC.: total assets
• FREIGHTCAR AMERICA, INC.: total liabilities
• FREIGHTCAR AMERICA, INC.: stockholders equity
• FREIGHTCAR AMERICA, INC.: cash and cash equivalents
• FREIGHTCAR AMERICA, INC.: net income or loss
• FREIGHTCAR AMERICA, INC.: operating cash flow
• FREIGHTCAR AMERICA, INC.: capital expenditure payments
• FREIGHTCAR AMERICA, INC.: revenue
• FREIGHTCAR AMERICA, INC.: contract revenue excluding tax
• FREIGHTCAR AMERICA, INC.: financing cash flow
• FREIGHTCAR AMERICA, INC.: investing cash flow
• FREIGHTCAR AMERICA, INC.: retained earnings or deficit
• FREIGHTCAR AMERICA, INC.: basic weighted-average shares
• FREIGHTCAR AMERICA, INC.: diluted weighted-average shares
• FREIGHTCAR AMERICA, INC.: basic earnings per share
• FREIGHTCAR AMERICA, INC.: diluted earnings per share
• FREIGHTCAR AMERICA, INC.: income tax expense or benefit
• FREIGHTCAR AMERICA, INC.: share-based compensation expense
• FREIGHTCAR AMERICA, INC.: operating income or loss
• FREIGHTCAR AMERICA, INC.: current assets
• FREIGHTCAR AMERICA, INC.: interest expense
• FREIGHTCAR AMERICA, INC.: current liabilities
• FREIGHTCAR AMERICA, INC.: current accounts payable
• FREIGHTCAR AMERICA, INC.: goodwill carrying amount
• FREIGHTCAR AMERICA, INC.: net finite-lived intangible assets
• FREIGHTCAR AMERICA, INC.: net current accounts receivable
• FREIGHTCAR AMERICA, INC.: net inventory
• FREIGHTCAR AMERICA, INC.: gross profit
• FREIGHTCAR AMERICA, INC.: cost of revenue
• FREIGHTCAR AMERICA, INC.: selling, general and administrative expense
• FREIGHTCAR AMERICA, INC.: research and development expense

Inspect the source

Entity

FREIGHTCAR AMERICA, INC. / CIK 0001320854

Captured

2026-09-20T07:52:12.269Z

SEC response SHA-256

ec6c8640a3c10de5c7ca80b3d160b4ea859e06a8575dcea5ed83b35b3eb0c2da

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/0001320854.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"])))