Lamar Advertising Co/New (LAMR) Income before Taxes (2009 - 2026)
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Analysis
Lamar Advertising Co/New (LAMR) Income before Taxes (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 167.38 Mn |
| Mar 31, 2026 | 105.90 Mn |
| Dec 31, 2025 | 156.58 Mn |
| Sep 30, 2025 | 146.64 Mn |
| Jun 30, 2025 | 157.40 Mn |
| Mar 31, 2025 | 153.77 Mn |
| Dec 31, 2024 | 330,000.00 |
| Sep 30, 2024 | 146.65 Mn |
| Jun 30, 2024 | 140.47 Mn |
| Mar 31, 2024 | 80.02 Mn |
| Dec 31, 2023 | 150.29 Mn |
| Sep 30, 2023 | 144.27 Mn |
| Jun 30, 2023 | 134.07 Mn |
| Mar 31, 2023 | 78.00 Mn |
| Dec 31, 2022 | 74.58 Mn |
| Sep 30, 2022 | 149.24 Mn |
| Jun 30, 2022 | 137.65 Mn |
| Mar 31, 2022 | 94.63 Mn |
| Dec 31, 2021 | 126.65 Mn |
| Sep 30, 2021 | 108.55 Mn |
API Access
Lamar Advertising Co/New Income before Taxes 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=income-before-taxes&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-before-taxes", "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=income-before-taxes&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();