Neogenomics (NEO) Non Operating Income (2010 - 2015)
Neogenomics' (NEO) quarterly Non Operating Income came in at -$239000.0 in Q3 2015, down 9.63% on a YoY basis from -$264477.2 in Q3 2014, and down 26.46% quarter-over-quarter from -$189000.0 in Q2 2015.
Neogenomics (NEO) Non Operating Income (2010 - 2015) Analysis & Trends
Neogenomics (NEO) has reported Non Operating Income for 5 consecutive years, with -$239000.0 the latest figure, recorded in Q3 2015.
- For the quarter ending Q3 2015, Non Operating Income fell 9.63% year-over-year to -$239000.0; the trailing twelve-month figure through Sep 2015 stood at -$816000.0 (up 16.39% YoY), and the FY2014 full-year result was -$929000.0, up 6.07% from the prior year.
- Non Operating Income slipped to -$239000.0 in Q3 2015 per NEO's latest filing, from -$189000.0 in the prior quarter.
- Across five years, Non Operating Income topped out at -$179000.0 in Q2 2011 and bottomed at -$265000.0 in Q1 2014.
- Historically, Non Operating Income has averaged -$217500.0 across 4 years, with a median of -$220500.0 in 2011.
- The sharpest annual moves came in 2011 and 2015: Non Operating Income slumped 219.89% in 2011, then rose 26.42% in 2015.
- Over 4 years, Non Operating Income stood at -$223000.0 in 2011, then slipped by 7.62% to -$240000.0 in 2013, then gained by 19.58% to -$193000.0 in 2014, then declined by 23.83% to -$239000.0 in 2015.
- According to Business Quant data, Non Operating Income over the past three periods registered -$239000.0, -$189000.0, and -$195000.0 for Q3 2015, Q2 2015, and Q1 2015 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | - |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | -47.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | - |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | - |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | - |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | -27.54 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | - |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 2.02 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | - |
| 10 | Neogenomics | 2.55 Bn | 2.40 Bn | 91.88 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | -239,000.00 |
| Jun 30, 2015 | -189,000.00 |
| Mar 31, 2015 | -195,000.00 |
| Dec 31, 2014 | -193,000.00 |
| Sep 30, 2014 | -218,000.00 |
| Jun 30, 2014 | -253,000.00 |
| Mar 31, 2014 | -265,000.00 |
| Dec 31, 2013 | -240,000.00 |
| Sep 30, 2013 | -231,000.00 |
| Dec 31, 2011 | -223,000.00 |
| Sep 30, 2011 | -185,000.00 |
| Jun 30, 2011 | -179,000.00 |
| Dec 31, 2010 | 186,000.00 |
| Sep 30, 2010 | -186,000.00 |
| Jun 30, 2010 | -181,000.00 |
Neogenomics Non Operating Income 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-income&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "ticker": "NEO", "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-income&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();