BIO-RAD LABORATORIES, INC.: current liabilities

What this measure means

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

Exact concept: us-gaap:LiabilitiesCurrent. 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 2009-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

BIO-RAD LABORATORIES, INC. / CIK 0000012208

Captured

2026-09-19T14:44:07.572Z

SEC response SHA-256

c966980cb878d538b77448c49eac56c322e186d39e7068d6b7b2f3c6bba00242

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/0000012208.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"])))