AgEagle Aerial Systems (UAVS) EV to CFO (2012 - 2015)
AgEagle Aerial Systems' (UAVS) EV to CFO was 490.39 for Q2 2015, up 37.5% from 356.59 a year earlier and up 245.3% from the prior quarter.
AgEagle Aerial Systems (UAVS) EV to CFO (2012 - 2015) Analysis & Trends
Over the twelve months ended Jun 30, 2015, AgEagle Aerial Systems' EV to CFO came in at 478.93, up 34.8% year-over-year; for FY2014, it came in at 143.95, down 58.3% from FY2013.
- By year, EV to CFO came in at 344.93 in FY2013 (-27.3%) and 474.31 in FY2012.
- The Q2 2015 figure ranks as the highest quarterly EV to CFO since Q3 2012.
- Year over year, EV to CFO gained in three of the last eight quarters, with an average decline of 24.0%.
- The high point for year-over-year EV to CFO in five years was Q2 2015 (growth of 37.5%); the low point was Q3 2013 (a decline of 78.2%).
- Per Business Quant data, the three quarters before Q2 2015 came in at 142.02 (Q1 2015), 143.95 (Q4 2014) and 308.26 (Q3 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 59.62 Mn | -43.53 Mn | 1.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 490.39 |
| Mar 31, 2015 | 142.02 |
| Dec 31, 2014 | 143.95 |
| Sep 30, 2014 | 308.26 |
| Jun 30, 2014 | 356.59 |
| Mar 31, 2014 | 439.03 |
| Dec 31, 2013 | 344.93 |
| Sep 30, 2013 | 304.37 |
| Jun 30, 2013 | 452.55 |
| Mar 31, 2013 | 359.30 |
| Dec 31, 2012 | 474.31 |
| Sep 30, 2012 | 1,396.56 |
AgEagle Aerial Systems EV to CFO 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=ev-to-cfo&ticker=UAVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "UAVS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-cfo&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();