AdaptHealth Corp.: 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 2017-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

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

Inspect the source

Entity

AdaptHealth Corp. / CIK 0001725255

Captured

2026-09-21T17:27:31.045Z

SEC response SHA-256

8a615a2feefa30899e2a3a115e14f6dc1d66ce3988acb48ce4bb319634cea403

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/0001725255.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"])))