Lamar Advertising Co/New (LAMR) General and Administrative (2009 - 2026)
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Analysis
Lamar Advertising Co/New (LAMR) General and Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.23 Mn |
| Mar 31, 2026 | 97.58 Mn |
| Dec 31, 2025 | 91.44 Mn |
| Sep 30, 2025 | 93.00 Mn |
| Jun 30, 2025 | 89.32 Mn |
| Mar 31, 2025 | 94.99 Mn |
| Dec 31, 2024 | 92.63 Mn |
| Sep 30, 2024 | 91.01 Mn |
| Jun 30, 2024 | 88.34 Mn |
| Mar 31, 2024 | 89.16 Mn |
| Dec 31, 2023 | 87.84 Mn |
| Sep 30, 2023 | 81.28 Mn |
| Jun 30, 2023 | 90.53 Mn |
| Mar 31, 2023 | 85.14 Mn |
| Dec 31, 2022 | 89.70 Mn |
| Sep 30, 2022 | 87.18 Mn |
| Jun 30, 2022 | 90.66 Mn |
| Mar 31, 2022 | 83.08 Mn |
| Dec 31, 2021 | 92.52 Mn |
| Sep 30, 2021 | 85.95 Mn |
API Access
Lamar Advertising Co/New General and Administrative 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=general-and-administrative&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();