Concord Medical Services Holdings (CCM) EV to EBITDA (2010 - 2016)
Concord Medical Services Holdings' (CCM) EV to EBITDA came in at 14.00 for the quarter ended Jun 30, 2016, up 176.7% from 5.06 a year earlier and up 27.3% from the prior quarter.
Concord Medical Services Holdings (CCM) EV to EBITDA (2010 - 2016) Analysis & Trends
For the trailing twelve months through Jun 30, 2016, EV to EBITDA at Concord Medical Services Holdings was 1.77, up 165.4% year-over-year; for the year ended Dec 31, 2015, it was 5.85, up 70.4% from the prior year.
- Annual EV to EBITDA has increased for three consecutive years.
- In prior years, Concord Medical Services Holdings' EV to EBITDA was 3.44 in the year ended Dec 31, 2014 (+0.3%), 3.42 in the year ended Dec 31, 2013 (+5.0%) and 3.26 in the year ended Dec 31, 2012.
- The figure for the quarter ended Jun 30, 2016 stands as the highest quarterly EV to EBITDA in data going back to the quarter ended Mar 31, 2010.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 50.8% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Mar 31, 2016, with growth of 237.4%; the weakest was the quarter ended Dec 31, 2011, with a decline of 55.5%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 11.00 (quarter ended Mar 31, 2016), 5.24 (quarter ended Dec 31, 2015) and 4.62 (quarter ended Sep 30, 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn |
| 10 | Concord Medical Services Holdings | 14.85 Mn | 411.71 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 14.00 |
| Mar 31, 2016 | 11.00 |
| Dec 31, 2015 | 5.24 |
| Sep 30, 2015 | 4.62 |
| Jun 30, 2015 | 5.06 |
| Mar 31, 2015 | 3.26 |
| Dec 31, 2014 | 3.83 |
| Sep 30, 2014 | 5.94 |
| Jun 30, 2014 | 6.31 |
| Mar 31, 2014 | 6.08 |
| Dec 31, 2013 | 3.82 |
| Sep 30, 2013 | 4.15 |
| Jun 30, 2013 | 3.10 |
| Mar 31, 2013 | 3.56 |
| Dec 31, 2012 | 2.61 |
| Sep 30, 2012 | 3.91 |
| Jun 30, 2012 | 2.99 |
| Mar 31, 2012 | 3.48 |
| Dec 31, 2011 | 2.76 |
| Sep 30, 2011 | 1.93 |
Concord Medical Services Holdings 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=CCM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "CCM", "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=CCM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();