CNH INDUSTRIAL N.V.: goodwill carrying amount

What this measure means

Recognized goodwill remaining after accumulated impairment. It arises from business combinations and does not measure the current value of the company’s brand.

Exact concept: us-gaap:Goodwill. 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 2011-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• CNH INDUSTRIAL N.V.: total assets
• CNH INDUSTRIAL N.V.: total liabilities
• CNH INDUSTRIAL N.V.: cash and cash equivalents
• CNH INDUSTRIAL N.V.: net income or loss
• CNH INDUSTRIAL N.V.: operating cash flow
• CNH INDUSTRIAL N.V.: revenue
• CNH INDUSTRIAL N.V.: contract revenue excluding tax
• CNH INDUSTRIAL N.V.: financing cash flow
• CNH INDUSTRIAL N.V.: investing cash flow
• CNH INDUSTRIAL N.V.: retained earnings or deficit
• CNH INDUSTRIAL N.V.: basic weighted-average shares
• CNH INDUSTRIAL N.V.: diluted weighted-average shares
• CNH INDUSTRIAL N.V.: basic earnings per share
• CNH INDUSTRIAL N.V.: diluted earnings per share
• CNH INDUSTRIAL N.V.: income tax expense or benefit
• CNH INDUSTRIAL N.V.: net property, plant and equipment
• CNH INDUSTRIAL N.V.: share-based compensation expense
• CNH INDUSTRIAL N.V.: operating income or loss
• CNH INDUSTRIAL N.V.: interest expense
• CNH INDUSTRIAL N.V.: net finite-lived intangible assets
• CNH INDUSTRIAL N.V.: net inventory
• CNH INDUSTRIAL N.V.: cost of revenue
• CNH INDUSTRIAL N.V.: selling, general and administrative expense
• CNH INDUSTRIAL N.V.: research and development expense

Inspect the source

Entity

CNH INDUSTRIAL N.V. / CIK 0001567094

Captured

2026-09-20T09:20:41.085Z

SEC response SHA-256

cbd30262e00d10ccbeda981823cad7c5adcea4323f2d5d9e40f82b436d50f901

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/0001567094.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"])))