Lamar Advertising Co/New (LAMR) Depreciation and Amortization (2009 - 2026)
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Analysis
Lamar Advertising Co/New (LAMR) Depreciation and Amortization (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.45 Mn |
| Mar 31, 2026 | 81.94 Mn |
| Dec 31, 2025 | 84.13 Mn |
| Sep 30, 2025 | 86.28 Mn |
| Jun 30, 2025 | 78.11 Mn |
| Mar 31, 2025 | 77.82 Mn |
| Dec 31, 2024 | 235.44 Mn |
| Sep 30, 2024 | 75.11 Mn |
| Jun 30, 2024 | 77.19 Mn |
| Mar 31, 2024 | 75.23 Mn |
| Dec 31, 2023 | 70.50 Mn |
| Sep 30, 2023 | 74.64 Mn |
| Jun 30, 2023 | 75.16 Mn |
| Mar 31, 2023 | 73.13 Mn |
| Dec 31, 2022 | 147.24 Mn |
| Sep 30, 2022 | 65.83 Mn |
| Jun 30, 2022 | 67.75 Mn |
| Mar 31, 2022 | 68.63 Mn |
| Dec 31, 2021 | 65.62 Mn |
| Sep 30, 2021 | 84.30 Mn |
API Access
Lamar Advertising Co/New Depreciation and Amortization API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=depreciation-and-amortization&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "ticker": "LAMR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();