The Procter & Gamble Company: 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 2009-06-30 to 2026-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• The Procter & Gamble Company: total assets
• The Procter & Gamble Company: total liabilities
• The Procter & Gamble Company: cash and cash equivalents
• The Procter & Gamble Company: net income or loss
• The Procter & Gamble Company: operating cash flow
• The Procter & Gamble Company: capital expenditure payments
• The Procter & Gamble Company: revenue
• The Procter & Gamble Company: financing cash flow
• The Procter & Gamble Company: investing cash flow
• The Procter & Gamble Company: retained earnings or deficit
• The Procter & Gamble Company: basic weighted-average shares
• The Procter & Gamble Company: diluted weighted-average shares
• The Procter & Gamble Company: basic earnings per share
• The Procter & Gamble Company: diluted earnings per share
• The Procter & Gamble Company: income tax expense or benefit
• The Procter & Gamble Company: net property, plant and equipment
• The Procter & Gamble Company: share-based compensation expense
• The Procter & Gamble Company: operating income or loss
• The Procter & Gamble Company: current assets
• The Procter & Gamble Company: interest expense
• The Procter & Gamble Company: current accounts payable
• The Procter & Gamble Company: goodwill carrying amount
• The Procter & Gamble Company: net current accounts receivable
• The Procter & Gamble Company: common-stock repurchase payments
• The Procter & Gamble Company: net inventory
• The Procter & Gamble Company: selling, general and administrative expense
• The Procter & Gamble Company: research and development expense

Inspect the source

Entity

The Procter & Gamble Company / CIK 0000080424

Captured

2026-09-19T14:51:29.563Z

SEC response SHA-256

606ad7056b611e91cfab9f7568b747404405772add188600efa5ccda5824f3d8

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/0000080424.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"])))