Quest Diagnostics (DGX) Non Operating Interest Expenses (2009 - 2014)
Quest Diagnostics (DGX) posted Non Operating Interest Expenses of $42 million for Q4 2014, up 7.7% from $39 million a year earlier and up 2.4% from the prior quarter.
Quest Diagnostics (DGX) Non Operating Interest Expenses (2009 - 2014) Analysis & Trends
For FY2014, Quest Diagnostics' Non Operating Interest Expenses came in at $164 million, up 3.1% from FY2013.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 2.3% (FY2009 to FY2014).
- In prior years, Quest Diagnostics' Non Operating Interest Expenses was $159 million in FY2013 (-3.6%), $165 million in FY2012 (-2.9%), $170 million in FY2011 (+18.5%) and $143.47 million in FY2010 (-2.1%).
- Quarterly Non Operating Interest Expenses has run from a low of -$36.64 million in Q2 2010 to a high of $253.11 million in Q4 2010 over five years.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last three quarters, with an average decline of 0.2% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2012, with growth of 10.0%; the weakest was Q4 2011, with a decline of 84.0%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $41 million (Q3 2014), $42 million (Q2 2014) and $39 million (Q1 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 103.46 Bn | 99.47 Bn | - | 599.00 Mn |
| 2 | Natera | 57.12 Bn | 52.81 Bn | 485.19 Mn | 890,000.00 |
| 3 | Labcorp Holdings | 25.99 Bn | 23.74 Bn | 1.11 Bn | 61.10 Mn |
| 4 | Quest Diagnostics | 25.96 Bn | 24.09 Bn | 1.03 Bn | - |
| 5 | Tenet Healthcare | 22.80 Bn | 11.80 Bn | - | 204.00 Mn |
| 6 | Guardant Health | 21.63 Bn | 17.69 Bn | 219.03 Mn | 1.35 Mn |
| 7 | BrightSpring Health Services | 13.01 Bn | 11.34 Bn | 492.75 Mn | 36.88 Mn |
| 8 | Encompass Health | 12.46 Bn | 12.13 Bn | - | 32.80 Mn |
| 9 | Tempus AI | 12.46 Bn | 9.49 Bn | 246.50 Mn | 10.28 Mn |
| 10 | Fresenius Medical Care AG | 12.45 Bn | 4.41 Bn | 1.52 Bn | 113.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 42.00 Mn |
| Sep 30, 2014 | 41.00 Mn |
| Jun 30, 2014 | 42.00 Mn |
| Mar 31, 2014 | 39.00 Mn |
| Dec 31, 2013 | 39.00 Mn |
| Sep 30, 2013 | 40.00 Mn |
| Jun 30, 2013 | 40.00 Mn |
| Mar 31, 2013 | 40.00 Mn |
| Dec 31, 2012 | 40.34 Mn |
| Sep 30, 2012 | 40.81 Mn |
| Jun 30, 2012 | 41.75 Mn |
| Mar 31, 2012 | 42.10 Mn |
| Dec 31, 2011 | 40.43 Mn |
| Sep 30, 2011 | 44.06 Mn |
| Jun 30, 2011 | 47.23 Mn |
| Mar 31, 2011 | 38.28 Mn |
| Dec 31, 2010 | 253.11 Mn |
| Sep 30, 2010 | -36.47 Mn |
| Jun 30, 2010 | -36.64 Mn |
| Mar 31, 2010 | -36.53 Mn |
Quest Diagnostics Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=DGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "DGX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=DGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();