Coherent (COHR) EV to EBITDA (2015 - 2017)
Coherent's (COHR) EV to EBITDA came in at 70.24 for fiscal Q2 2018 (quarter ended Dec 31, 2017), up 647.5% from 9.40 a year earlier and up 511.3% from the prior quarter.
Coherent (COHR) EV to EBITDA (2015 - 2017) Analysis & Trends
For the trailing twelve months through Dec 31, 2017, EV to EBITDA at Coherent was 50.30, up 776.2% year-over-year; for FY2016 (ended Jun 30, 2016), it was 5.95, down 14.6% from FY2015.
- In prior fiscal years, Coherent's EV to EBITDA was 6.97 in FY2015.
- The fiscal Q2 2018 figure stands as the highest quarterly EV to EBITDA in data going back to fiscal Q4 2015.
- On a year-over-year basis, EV to EBITDA has increased in each of the last six quarters, with growth averaging 115.3% over the last seven quarters.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 11.49 (Q1 2018), 9.89 (Q4 2017) and 11.20 (Q3 2017).
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 | Coherent | 56.36 Bn | 50.57 Bn | 787.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 70.24 |
| Sep 30, 2017 | 11.49 |
| Jun 30, 2017 | 9.89 |
| Mar 31, 2017 | 11.20 |
| Dec 31, 2016 | 9.40 |
| Sep 30, 2016 | 7.87 |
| Jun 30, 2016 | 5.95 |
| Mar 31, 2016 | 7.48 |
| Dec 31, 2015 | 6.40 |
| Sep 30, 2015 | 5.70 |
| Jun 30, 2015 | 47.09 |
Coherent 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=COHR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "COHR", "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=COHR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();