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LAMAR ADVERTISING CO/NEW: net property, plant and equipment

Net property, plant and equipment for LAMAR ADVERTISING CO/NEW. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LAMAR ADVERTISING CO/NEW financial histories

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
At date2025-12-311,678,900,000USD2026-02-2010-K · 0001090425-26-000008
At date2024-12-311,600,809,000USD2026-02-2010-K · 0001090425-26-000008
At date2023-12-311,566,470,000USD2025-02-2010-K · 0001628280-25-006706
At date2022-12-311,499,699,000USD2024-02-2310-K · 0001628280-24-006537
At date2021-12-311,337,274,000USD2023-02-2410-K · 0001628280-23-004975
At date2020-12-311,281,849,000USD2022-02-2510-K · 0001628280-22-003948
At date2019-12-311,349,115,000USD2021-02-2610-K · 0001564590-21-009276
At date2018-12-311,295,048,000USD2020-02-2010-K · 0001564590-20-005593
At date2017-12-311,214,138,000USD2019-02-2510-K · 0001564590-19-004025
At date2016-12-311,182,715,000USD2018-02-2710-K · 0001564590-18-003444
At date2015-12-311,095,137,000USD2017-02-2410-K · 0001564590-17-002293
At date2014-12-311,083,640,000USD2016-02-2510-K · 0001193125-16-478563
At date2013-12-311,121,929,000USD2015-02-2610-K · 0001193125-15-066077
At date2012-12-311,180,359,000USD2014-02-2710-K · 0001193125-14-072774
At date2011-12-311,193,617,000USD2013-02-2810-K · 0001193125-13-084458
At date2010-12-311,257,451,000USD2012-02-2710-K · 0001193125-12-081940
At date2009-12-311,406,911,000USD2011-02-2510-K · 0000950123-11-018470

Related financial histories

Inspect the source

Entity
LAMAR ADVERTISING CO/NEW / CIK 0001090425
Captured
2026-09-20T05:21:50.448Z
SEC response SHA-256
bfde64c47594638516d61209d85abc784a343d4ffbcb1581e9474059b560a1cf

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.

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

with urlopen("https://canlicapital.com/company-data/0001090425.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"])))