KinderCare Learning Companies, Inc.: share-based compensation expense

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2022-01-02 to 2026-01-03. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• KinderCare Learning Companies, Inc.: total assets
• KinderCare Learning Companies, Inc.: total liabilities
• KinderCare Learning Companies, Inc.: stockholders equity
• KinderCare Learning Companies, Inc.: cash and cash equivalents
• KinderCare Learning Companies, Inc.: net income or loss
• KinderCare Learning Companies, Inc.: operating cash flow
• KinderCare Learning Companies, Inc.: capital expenditure payments
• KinderCare Learning Companies, Inc.: contract revenue excluding tax
• KinderCare Learning Companies, Inc.: financing cash flow
• KinderCare Learning Companies, Inc.: investing cash flow
• KinderCare Learning Companies, Inc.: retained earnings or deficit
• KinderCare Learning Companies, Inc.: basic weighted-average shares
• KinderCare Learning Companies, Inc.: diluted weighted-average shares
• KinderCare Learning Companies, Inc.: basic earnings per share
• KinderCare Learning Companies, Inc.: diluted earnings per share
• KinderCare Learning Companies, Inc.: income tax expense or benefit
• KinderCare Learning Companies, Inc.: net property, plant and equipment
• KinderCare Learning Companies, Inc.: operating income or loss
• KinderCare Learning Companies, Inc.: current assets
• KinderCare Learning Companies, Inc.: current liabilities
• KinderCare Learning Companies, Inc.: current accounts payable
• KinderCare Learning Companies, Inc.: goodwill carrying amount
• KinderCare Learning Companies, Inc.: net finite-lived intangible assets
• KinderCare Learning Companies, Inc.: net current accounts receivable
• KinderCare Learning Companies, Inc.: selling, general and administrative expense

Inspect the source

Entity

KinderCare Learning Companies, Inc. / CIK 0001873529

Captured

2026-09-21T17:34:11.167Z

SEC response SHA-256

c5d6a3e94c8595166bf32578913e187a87939d126d3cc754c13c547a3c6a0d86

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/0001873529.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"])))