LOGITECH INTERNATIONAL S.A.: 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 2010-03-31 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• LOGITECH INTERNATIONAL S.A.: total assets
• LOGITECH INTERNATIONAL S.A.: total liabilities
• LOGITECH INTERNATIONAL S.A.: stockholders equity
• LOGITECH INTERNATIONAL S.A.: cash and cash equivalents
• LOGITECH INTERNATIONAL S.A.: net income or loss
• LOGITECH INTERNATIONAL S.A.: operating cash flow
• LOGITECH INTERNATIONAL S.A.: capital expenditure payments
• LOGITECH INTERNATIONAL S.A.: contract revenue excluding tax
• LOGITECH INTERNATIONAL S.A.: financing cash flow
• LOGITECH INTERNATIONAL S.A.: investing cash flow
• LOGITECH INTERNATIONAL S.A.: retained earnings or deficit
• LOGITECH INTERNATIONAL S.A.: basic weighted-average shares
• LOGITECH INTERNATIONAL S.A.: diluted weighted-average shares
• LOGITECH INTERNATIONAL S.A.: basic earnings per share
• LOGITECH INTERNATIONAL S.A.: diluted earnings per share
• LOGITECH INTERNATIONAL S.A.: income tax expense or benefit
• LOGITECH INTERNATIONAL S.A.: net property, plant and equipment
• LOGITECH INTERNATIONAL S.A.: share-based compensation expense
• LOGITECH INTERNATIONAL S.A.: operating income or loss
• LOGITECH INTERNATIONAL S.A.: current assets
• LOGITECH INTERNATIONAL S.A.: interest expense
• LOGITECH INTERNATIONAL S.A.: current liabilities
• LOGITECH INTERNATIONAL S.A.: current accounts payable
• LOGITECH INTERNATIONAL S.A.: net finite-lived intangible assets
• LOGITECH INTERNATIONAL S.A.: net current accounts receivable
• LOGITECH INTERNATIONAL S.A.: common-stock repurchase payments
• LOGITECH INTERNATIONAL S.A.: operating expenses
• LOGITECH INTERNATIONAL S.A.: net inventory
• LOGITECH INTERNATIONAL S.A.: gross profit
• LOGITECH INTERNATIONAL S.A.: research and development expense

Inspect the source

Entity

LOGITECH INTERNATIONAL S.A. / CIK 0001032975

Captured

2026-09-20T05:14:50.401Z

SEC response SHA-256

c5356b428dc5b24410c9314c91a4e5c5ce3110be5bc4d8a58c728c092f35be5c

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/0001032975.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"])))