CLARUS CORPORATION: net current accounts receivable

What this measure means

Current customer receivables after the allowance for credit loss. The balance is not cash collected or a guarantee of collection.

Exact concept: us-gaap:AccountsReceivableNetCurrent. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

CLARUS CORPORATION / CIK 0000913277

Captured

2026-09-19T11:15:21.365Z

SEC response SHA-256

7f64b619a33dfde90a8c61c8fae4e9d42bcee8979ea5dcff0001d3fe99b360ed

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/0000913277.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"])))