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Penske Automotive Group, Inc.: net property, plant and equipment

Penske Automotive Group net property, plant and equipment: $3.22 billion at 2025-12-31, up 6.1% on the year. 17 values since 2009. Download the selected JSON.

All Penske Automotive Group, Inc. financial histories

At a glance

Penske Automotive Group reported net property, plant and equipment of $3.22 billion at 2025-12-31, up 6.1% from $3.04 billion a year earlier. From 2009 to 2025 it grew at a compound 9.8% a year, from $726.8 million to $3.22 billion. Across the last five reported years it ranged from $2.44 billion (2021-12-31) to $3.22 billion (2025-12-31). That was 18.3% of total assets ($17.6 billion) at the same date.

Computed from the values in the table below, in USD; each links to the filing it came from.

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

Net property, plant and equipment in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-313,224,600,000USD2026-02-2710-K · 0001628280-26-012830 SEC
-2024-12-313,037,800,000USD2026-02-2710-K · 0001628280-26-012830 SEC
-2023-12-312,765,200,000USD2025-02-2110-K · 0001019849-25-000022 SEC
-2022-12-312,496,500,000USD2024-02-1610-K · 0001019849-24-000033 SEC
-2021-12-312,442,200,000USD2023-02-2110-K · 0001019849-23-000038 SEC
-2020-12-312,404,400,000USD2022-02-1810-K · 0001019849-22-000013 SEC
-2019-12-312,366,400,000USD2021-02-1910-K · 0001558370-21-001299 SEC
-2018-12-312,250,000,000USD2020-02-2110-K · 0001558370-20-001163 SEC
-2017-12-312,108,600,000USD2019-02-2210-K · 0001558370-19-000917 SEC
-2016-12-311,806,500,000USD2018-02-2210-K · 0001558370-18-000944 SEC
-2015-12-311,520,100,000USD2017-02-2410-K · 0001558370-17-001005 SEC
-2014-12-311,331,600,000USD2016-02-2510-K · 0001558370-16-003547 SEC
-2013-12-311,119,500,000USD2015-02-2610-K · 0001047469-15-001311 SEC
-2012-12-311,022,900,000USD2014-03-0310-K · 0001047469-14-001666 SEC
-2011-12-31839,630,000USD2013-02-2810-K · 0001104659-13-016197 SEC
-2010-12-31716,427,000USD2012-02-2410-K · 0001193125-12-078466 SEC
-2009-12-31726,808,000USD2011-02-2810-K · 0000950123-11-018964 SEC

Related Penske Automotive Group, Inc. histories

All 51 Penske Automotive Group histories

Inspect the source

Entity
Penske Automotive Group, Inc. / CIK 0001019849
Captured
SEC response SHA-256
e0912e56b3d1f695136c45f37001d5b17e089e457c87b3e8f9d59f370cfc30d7

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001019849.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"])))