OUTFRONT Media (OUT) Non Operating Interest Expenses (2013 - 2015)
OUTFRONT Media (OUT) posted Non Operating Interest Expenses of $27.8 million for Q1 2015, up 122.4% from $12.5 million a year earlier and up 1.1% from the prior quarter.
OUTFRONT Media (OUT) Non Operating Interest Expenses (2013 - 2015) Analysis & Trends
For the trailing twelve months through Mar 31, 2015, Non Operating Interest Expenses at OUTFRONT Media was $100.1 million, up 707.3% year-over-year; for FY2014, it was $84.8 million.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $27.5 million (Q4 2014), $26.3 million (Q3 2014) and $18.5 million (Q2 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | 354.50 Mn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | 113.94 Mn |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | 208.00 Mn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn | - |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | 41.11 Mn |
| 6 | OUTFRONT Media | 4.89 Bn | 4.65 Bn | 276.40 Mn | - |
| 7 | Array Digital Infrastructure | 2.92 Bn | 1.81 Bn | 30.57 Mn | 10.86 Mn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn | -105.50 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | -953,000.00 |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | 99.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 27.80 Mn |
| Dec 31, 2014 | 27.50 Mn |
| Sep 30, 2014 | 26.30 Mn |
| Jun 30, 2014 | 18.50 Mn |
| Mar 31, 2014 | 12.50 Mn |
| Sep 30, 2013 | -100,000.00 |
| Mar 31, 2013 | 100,000.00 |
OUTFRONT Media Non Operating Interest 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=non-operating-interest-expenses&ticker=OUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "OUT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=OUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();