KEYSIGHT TECHNOLOGIES, INC.: retained earnings or deficit

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. 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 2014-10-31 to 2025-10-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• KEYSIGHT TECHNOLOGIES, INC.: total assets
• KEYSIGHT TECHNOLOGIES, INC.: total liabilities
• KEYSIGHT TECHNOLOGIES, INC.: stockholders equity
• KEYSIGHT TECHNOLOGIES, INC.: cash and cash equivalents
• KEYSIGHT TECHNOLOGIES, INC.: net income or loss
• KEYSIGHT TECHNOLOGIES, INC.: operating cash flow
• KEYSIGHT TECHNOLOGIES, INC.: capital expenditure payments
• KEYSIGHT TECHNOLOGIES, INC.: revenue
• KEYSIGHT TECHNOLOGIES, INC.: financing cash flow
• KEYSIGHT TECHNOLOGIES, INC.: investing cash flow
• KEYSIGHT TECHNOLOGIES, INC.: basic weighted-average shares
• KEYSIGHT TECHNOLOGIES, INC.: diluted weighted-average shares
• KEYSIGHT TECHNOLOGIES, INC.: basic earnings per share
• KEYSIGHT TECHNOLOGIES, INC.: diluted earnings per share
• KEYSIGHT TECHNOLOGIES, INC.: income tax expense or benefit
• KEYSIGHT TECHNOLOGIES, INC.: net property, plant and equipment
• KEYSIGHT TECHNOLOGIES, INC.: share-based compensation expense
• KEYSIGHT TECHNOLOGIES, INC.: operating income or loss
• KEYSIGHT TECHNOLOGIES, INC.: current assets
• KEYSIGHT TECHNOLOGIES, INC.: interest expense
• KEYSIGHT TECHNOLOGIES, INC.: current liabilities
• KEYSIGHT TECHNOLOGIES, INC.: current accounts payable
• KEYSIGHT TECHNOLOGIES, INC.: goodwill carrying amount
• KEYSIGHT TECHNOLOGIES, INC.: net finite-lived intangible assets
• KEYSIGHT TECHNOLOGIES, INC.: net current accounts receivable
• KEYSIGHT TECHNOLOGIES, INC.: common-stock repurchase payments
• KEYSIGHT TECHNOLOGIES, INC.: net inventory
• KEYSIGHT TECHNOLOGIES, INC.: cost of revenue
• KEYSIGHT TECHNOLOGIES, INC.: selling, general and administrative expense
• KEYSIGHT TECHNOLOGIES, INC.: research and development expense

Inspect the source

Entity

KEYSIGHT TECHNOLOGIES, INC. / CIK 0001601046

Captured

2026-09-20T09:25:22.644Z

SEC response SHA-256

fc20f41fcc4d4de7f2e33ed60fcffa45e3da2e4f2222876522fbe5e9eed35b51

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/0001601046.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"])))