CTS CORPORATION: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

CTS CORPORATION / CIK 0000026058

Captured

2026-09-19T14:45:39.806Z

SEC response SHA-256

48ed01094bd1603eba8e0ea0d55f682b542a200a78cfc0febe0b39cad1a16e7a

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/0000026058.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"])))