AgEagle Aerial Systems (UAVS) Price to Earnings (2012 - 2018)
AgEagle Aerial Systems' (UAVS) Price to Earnings was 2.57 for Q1 2018, down 71.6% from the prior quarter.
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Analysis
AgEagle Aerial Systems (UAVS) Price to Earnings (2012 - 2018) Analysis & Trends
For FY2014, Price to Earnings at AgEagle Aerial Systems was 120.11, down 97.2% from FY2013.
- By year, Price to Earnings came in at 4287.13 in FY2013.
- The Q1 2018 figure ranks as the lowest quarterly Price to Earnings in data going back to Q2 2012.
- Per Business Quant data, the three quarters before Q1 2018 came in at 9.07 (Q4 2017), 21.74 (Q3 2017) and 37.45 (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 59.00 Mn | -44.15 Mn | 1.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 2.57 |
| Dec 31, 2017 | 9.07 |
| Sep 30, 2017 | 21.74 |
| Jun 30, 2017 | 37.45 |
| Dec 31, 2014 | 105.05 |
| Sep 30, 2014 | 1,732.31 |
| Mar 31, 2014 | 13,391.68 |
| Dec 31, 2013 | 4,755.04 |
| Mar 31, 2013 | 769.37 |
| Dec 31, 2012 | 1,464.61 |
| Jun 30, 2012 | 680.31 |
API Access
AgEagle Aerial Systems Price to Earnings 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=price-to-earnings&ticker=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();