Lamar Advertising Co/New (LAMR) Total Assets (2009 - 2026)
Analysis
Lamar Advertising Co/New (LAMR) Total Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.99 Bn |
| Mar 31, 2026 | 6.91 Bn |
| Dec 31, 2025 | 6.93 Bn |
| Sep 30, 2025 | 6.82 Bn |
| Jun 30, 2025 | 6.67 Bn |
| Mar 31, 2025 | 6.55 Bn |
| Dec 31, 2024 | 6.59 Bn |
| Sep 30, 2024 | 6.52 Bn |
| Jun 30, 2024 | 6.58 Bn |
| Mar 31, 2024 | 6.53 Bn |
| Dec 31, 2023 | 6.56 Bn |
| Sep 30, 2023 | 6.57 Bn |
| Jun 30, 2023 | 6.52 Bn |
| Mar 31, 2023 | 6.44 Bn |
| Dec 31, 2022 | 6.48 Bn |
| Sep 30, 2022 | 6.28 Bn |
| Jun 30, 2022 | 6.28 Bn |
| Mar 31, 2022 | 6.09 Bn |
| Dec 31, 2021 | 6.05 Bn |
| Sep 30, 2021 | 5.82 Bn |
API Access
Lamar Advertising Co/New Total Assets 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-assets&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-assets", "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-assets&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();