Lamar Advertising Co/New (LAMR) Other non-cash items (2009 - 2026)
Analysis
Lamar Advertising Co/New (LAMR) Other non-cash items (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Mn |
| Mar 31, 2026 | 2.18 Mn |
| Dec 31, 2025 | 2.56 Mn |
| Sep 30, 2025 | 2.01 Mn |
| Jun 30, 2025 | 2.08 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 3.88 Mn |
| Sep 30, 2024 | 270,000.00 |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 312,000.00 |
| Dec 31, 2023 | 4.13 Mn |
| Sep 30, 2023 | 115,000.00 |
| Jun 30, 2023 | 4.16 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 3.15 Mn |
| Mar 31, 2022 | -39,000.00 |
| Dec 31, 2021 | 1.82 Mn |
| Mar 31, 2021 | 21.23 Mn |
| Dec 31, 2020 | 3.29 Mn |
| Sep 30, 2020 | 7.05 Mn |
API Access
Lamar Advertising Co/New Other non-cash items 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=other-non-cash-items&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();