Lamar Advertising Co/New (LAMR) Interest Expense (2009 - 2026)
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Analysis
Lamar Advertising Co/New (LAMR) Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.11 Mn |
| Mar 31, 2026 | 40.54 Mn |
| Dec 31, 2025 | 40.22 Mn |
| Sep 30, 2025 | 41.19 Mn |
| Jun 30, 2025 | 40.70 Mn |
| Mar 31, 2025 | 38.33 Mn |
| Dec 31, 2024 | 39.95 Mn |
| Sep 30, 2024 | 42.94 Mn |
| Jun 30, 2024 | 44.34 Mn |
| Mar 31, 2024 | 44.49 Mn |
| Dec 31, 2023 | 44.35 Mn |
| Sep 30, 2023 | 45.07 Mn |
| Jun 30, 2023 | 43.65 Mn |
| Mar 31, 2023 | 41.44 Mn |
| Dec 31, 2022 | 37.69 Mn |
| Sep 30, 2022 | 33.55 Mn |
| Jun 30, 2022 | 29.49 Mn |
| Mar 31, 2022 | 26.79 Mn |
| Dec 31, 2021 | 25.75 Mn |
| Sep 30, 2021 | 26.13 Mn |
API Access
Lamar Advertising Co/New Interest Expense 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=interest-expense&ticker=LAMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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=interest-expense&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();