Applied Optoelectronics (AAOI) EV to EBITDA (2014 - 2019)
Applied Optoelectronics' (AAOI) EV to EBITDA was 43.28 for Q1 2019, up 833.3% from 4.64 a year earlier and up 227.7% from the prior quarter.
Applied Optoelectronics (AAOI) EV to EBITDA (2014 - 2019) Analysis & Trends
Over the twelve months ended Mar 31, 2019, Applied Optoelectronics' EV to EBITDA came in at -6.85; for FY2018, it came in at 13.21, up 117.2% from FY2017.
- By year, EV to EBITDA came in at 6.08 in FY2017 (-40.6%), 10.24 in FY2016 (-7.4%), 11.06 in FY2015 (-0.7%) and 11.14 in FY2014 (-71.1%).
- The Q1 2019 figure ranks as the highest quarterly EV to EBITDA since Q2 2014.
- Year over year, EV to EBITDA gained in four of the last eight quarters, with growth averaging 110.0%.
- The high point for year-over-year EV to EBITDA in five years was Q1 2019 (growth of 833.3%); the low point was Q1 2015 (a decline of 78.1%).
- Per Business Quant data, the three quarters before Q1 2019 came in at 13.21 (Q4 2018), 10.63 (Q3 2018) and 12.35 (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Applied Optoelectronics | 8.38 Bn | 7.09 Bn | 53.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 43.28 |
| Dec 31, 2018 | 13.21 |
| Sep 30, 2018 | 10.63 |
| Jun 30, 2018 | 12.35 |
| Mar 31, 2018 | 4.64 |
| Dec 31, 2017 | 6.08 |
| Sep 30, 2017 | 10.63 |
| Jun 30, 2017 | 11.33 |
| Mar 31, 2017 | 15.62 |
| Dec 31, 2016 | 10.24 |
| Sep 30, 2016 | 14.45 |
| Jun 30, 2016 | 7.19 |
| Mar 31, 2016 | 8.53 |
| Dec 31, 2015 | 11.06 |
| Sep 30, 2015 | 13.15 |
| Jun 30, 2015 | 14.84 |
| Mar 31, 2015 | 17.85 |
| Dec 31, 2014 | 11.14 |
| Sep 30, 2014 | 21.88 |
| Jun 30, 2014 | 50.40 |
Applied Optoelectronics EV to EBITDA 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-ebitda&ticker=AAOI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "AAOI", "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-ebitda&ticker=AAOI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();