Waters Corporation: 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 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Waters Corporation / CIK 0001000697

Captured

2026-09-20T05:11:03.974Z

SEC response SHA-256

f36772e3c932728e55fc7b158a25d0ab2189ad8ffc3a3e02408c7bfd3ae0b8ed

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/0001000697.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"])))