Lamar Advertising (LAMR) Impairment of Real Estate (CF) (2014)
Analysis
Lamar Advertising (LAMR) Impairment of Real Estate (CF) (2014) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | American Tower | 88.05 Bn | 87.79 Bn | 2.72 Bn |
| 2 | Digital Realty Trust | 63.77 Bn | 54.30 Bn | - |
| 3 | Crown Castle | 36.64 Bn | 35.39 Bn | 989.00 Mn |
| 4 | Sba Communications | 19.60 Bn | 18.25 Bn | 539.27 Mn |
| 5 | Lamar Advertising | 13.51 Bn | 13.33 Bn | 422.53 Mn |
| 6 | OUTFRONT Media | 5.47 Bn | 5.23 Bn | 276.40 Mn |
| 7 | Array Digital Infrastructure | 2.90 Bn | 1.80 Bn | 30.57 Mn |
| 8 | IHS Holding | 2.83 Bn | -733.80 Mn | 207.10 Mn |
| 9 | Fermi | 1.63 Bn | 765.63 Mn | - |
| 10 | Clear Channel Outdoor Holdings | 1.23 Bn | 518.82 Mn | 241.86 Mn |
API Access
Lamar Advertising Impairment of Real Estate (CF) 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=impairment-of-real-estate-cf&ticker=LAMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "impairment-of-real-estate-cf", "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=impairment-of-real-estate-cf&ticker=LAMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();