ECOLAB INC.: capital expenditure payments

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

ECOLAB INC. / CIK 0000031462

Captured

2026-09-19T14:46:19.817Z

SEC response SHA-256

d1bde94130ee5039309a29a510152a8ae865bac9075851449780c3c9fcd6c135

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/0000031462.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"])))