Cross Country Healthcare (CCRN) Depreciation and Depletion (2010 - 2016)
Cross Country Healthcare's Depreciation and Depletion was $1.11 million in Q4 2016, up 16.2% from $954,000 a year earlier and up 11.5% from the prior quarter.
Cross Country Healthcare (CCRN) Depreciation and Depletion (2010 - 2016) Analysis & Trends
For FY2016, Depreciation and Depletion at Cross Country Healthcare came in at $4.17 million, up 8.1% from FY2015.
- Depreciation and Depletion shows a five-year compound annual growth rate of -9.3% (FY2011 to FY2016).
- In earlier years, Depreciation and Depletion was $3.86 million in FY2015 (-0.3%), $3.87 million in FY2014 (-0.5%), $3.89 million in FY2013 (-30.2%) and $5.57 million in FY2012 (-18.0%).
- The Q4 2016 figure marks the highest quarterly Depreciation and Depletion since Q4 2012.
- Compared with a year earlier, Depreciation and Depletion has increased for four straight quarters, with growth averaging 4.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2015 (growth of 21.1%); the worst was Q1 2013 (a decline of 35.8%).
- Per Business Quant data, CCRN's Depreciation and Depletion in the three quarters before Q4 2016 was $995,000 (Q3 2016), $1.06 million (Q2 2016) and $1.01 million (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 143.59 Mn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 81.60 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 202.85 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 21.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | - |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 25.15 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Cross Country Healthcare | 428.41 Mn | 33.76 Mn | 47.59 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 1.11 Mn |
| Sep 30, 2016 | 995,000.00 |
| Jun 30, 2016 | 1.06 Mn |
| Mar 31, 2016 | 1.01 Mn |
| Dec 31, 2015 | 954,000.00 |
| Sep 30, 2015 | 953,000.00 |
| Jun 30, 2015 | 989,000.00 |
| Mar 31, 2015 | 960,000.00 |
| Dec 31, 2014 | 1.07 Mn |
| Sep 30, 2014 | 1.01 Mn |
| Jun 30, 2014 | 817,000.00 |
| Mar 31, 2014 | 974,000.00 |
| Dec 31, 2013 | 934,000.00 |
| Sep 30, 2013 | 890,000.00 |
| Jun 30, 2013 | 1.04 Mn |
| Mar 31, 2013 | 1.02 Mn |
| Dec 31, 2012 | 1.19 Mn |
| Sep 30, 2012 | 1.04 Mn |
| Jun 30, 2012 | 1.37 Mn |
| Mar 31, 2012 | 1.59 Mn |
Cross Country Healthcare Depreciation and Depletion 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=depreciation-and-depletion&ticker=CCRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "CCRN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=CCRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();