Lamar Advertising Co/New (LAMR) Total Operating Expenses (2009 - 2026)
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Analysis
Lamar Advertising Co/New (LAMR) Total Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.79 Mn |
| Mar 31, 2026 | 381.94 Mn |
| Dec 31, 2025 | 399.87 Mn |
| Sep 30, 2025 | 396.46 Mn |
| Jun 30, 2025 | 381.63 Mn |
| Mar 31, 2025 | 314.20 Mn |
| Dec 31, 2024 | 542.91 Mn |
| Sep 30, 2024 | 377.58 Mn |
| Jun 30, 2024 | 381.02 Mn |
| Mar 31, 2024 | 373.55 Mn |
| Dec 31, 2023 | 364.20 Mn |
| Sep 30, 2023 | 354.48 Mn |
| Jun 30, 2023 | 364.35 Mn |
| Mar 31, 2023 | 352.53 Mn |
| Dec 31, 2022 | 425.46 Mn |
| Sep 30, 2022 | 346.40 Mn |
| Jun 30, 2022 | 351.35 Mn |
| Mar 31, 2022 | 330.93 Mn |
| Dec 31, 2021 | 344.63 Mn |
| Sep 30, 2021 | 343.56 Mn |
API Access
Lamar Advertising Co/New Total Operating Expenses 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-operating-expenses&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "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-operating-expenses&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();