The Goldman Sachs Group, Inc.: net property, plant and equipment

What this measure means

Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.

Exact concept: us-gaap:PropertyPlantAndEquipmentNet. 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 2026-09-20.

Selected filing history

Related financial histories

• The Goldman Sachs Group, Inc.: total assets
• The Goldman Sachs Group, Inc.: total liabilities
• The Goldman Sachs Group, Inc.: stockholders equity
• The Goldman Sachs Group, Inc.: cash and cash equivalents
• The Goldman Sachs Group, Inc.: net income or loss
• The Goldman Sachs Group, Inc.: operating cash flow
• The Goldman Sachs Group, Inc.: capital expenditure payments
• The Goldman Sachs Group, Inc.: financing cash flow
• The Goldman Sachs Group, Inc.: investing cash flow
• The Goldman Sachs Group, Inc.: retained earnings or deficit
• The Goldman Sachs Group, Inc.: basic weighted-average shares
• The Goldman Sachs Group, Inc.: diluted weighted-average shares
• The Goldman Sachs Group, Inc.: basic earnings per share
• The Goldman Sachs Group, Inc.: diluted earnings per share
• The Goldman Sachs Group, Inc.: income tax expense or benefit
• The Goldman Sachs Group, Inc.: share-based compensation expense
• The Goldman Sachs Group, Inc.: interest expense
• The Goldman Sachs Group, Inc.: goodwill carrying amount
• The Goldman Sachs Group, Inc.: net finite-lived intangible assets
• The Goldman Sachs Group, Inc.: common-stock repurchase payments

Inspect the source

Entity

The Goldman Sachs Group, Inc. / CIK 0000886982

Captured

2026-09-20T05:03:02.291Z

SEC response SHA-256

39759e416665606177d417a8746639d2af80adf9f1f32220edb29047ac4de6d7

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/0000886982.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"])))