Lamar Advertising Co/New (LAMR) Total Revenue (2009 - 2026)
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Analysis
Lamar Advertising Co/New (LAMR) Total Revenue (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 616.75 Mn |
| Mar 31, 2026 | 528.00 Mn |
| Dec 31, 2025 | 595.93 Mn |
| Sep 30, 2025 | 585.54 Mn |
| Jun 30, 2025 | 579.31 Mn |
| Mar 31, 2025 | 505.43 Mn |
| Dec 31, 2024 | 579.57 Mn |
| Sep 30, 2024 | 564.14 Mn |
| Jun 30, 2024 | 565.25 Mn |
| Mar 31, 2024 | 498.15 Mn |
| Dec 31, 2023 | 555.91 Mn |
| Sep 30, 2023 | 542.61 Mn |
| Jun 30, 2023 | 541.14 Mn |
| Mar 31, 2023 | 471.33 Mn |
| Dec 31, 2022 | 535.51 Mn |
| Sep 30, 2022 | 527.39 Mn |
| Jun 30, 2022 | 517.85 Mn |
| Mar 31, 2022 | 451.39 Mn |
| Dec 31, 2021 | 494.57 Mn |
| Sep 30, 2021 | 476.89 Mn |
API Access
Lamar Advertising Co/New Total Revenue 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=total-revenue&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-revenue", "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=total-revenue&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();