Neogenomics (NEO) EV to EBITDA (2011 - 2026)
Neogenomics' (NEO) EV to EBITDA came in at 133.80 for Q3 2026.
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Analysis
Neogenomics (NEO) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EV to EBITDA at Neogenomics was 106.74; for FY2020, it was 219.95, up 232.1% from FY2019.
- Annual EV to EBITDA has increased for four consecutive years.
- In prior years, Neogenomics' EV to EBITDA was 66.22 in FY2019 (+81.1%), 36.56 in FY2018 (+29.4%), 28.25 in FY2017 (+19.3%) and 23.69 in FY2016 (-92.6%).
- The Q3 2026 figure stands as the highest quarterly EV to EBITDA since Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 108.44 Bn | 104.53 Bn | - |
| 2 | Natera | 46.38 Bn | 42.00 Bn | 513.47 Mn |
| 3 | Labcorp Holdings | 30.37 Bn | 28.45 Bn | 1.11 Bn |
| 4 | Quest Diagnostics | 28.52 Bn | 26.28 Bn | 1.04 Bn |
| 5 | Tenet Healthcare | 23.21 Bn | 12.51 Bn | - |
| 6 | Guardant Health | 21.35 Bn | 16.97 Bn | 236.15 Mn |
| 7 | Tempus AI | 15.33 Bn | 12.48 Bn | 266.70 Mn |
| 8 | BrightSpring Health Services | 14.30 Bn | 12.05 Bn | 518.55 Mn |
| 9 | Encompass Health | 13.86 Bn | 13.49 Bn | - |
| 10 | Neogenomics | 2.26 Bn | 1.67 Bn | 96.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 133.80 |
| Jun 30, 2021 | 311.90 |
| Mar 31, 2021 | 281.11 |
| Dec 31, 2020 | 219.55 |
| Sep 30, 2020 | 197.77 |
| Jun 30, 2020 | 211.89 |
| Mar 31, 2020 | 77.12 |
| Dec 31, 2019 | 66.22 |
| Sep 30, 2019 | 42.51 |
| Jun 30, 2019 | 51.28 |
| Mar 31, 2019 | 55.13 |
| Dec 31, 2018 | 36.66 |
| Sep 30, 2018 | 39.95 |
| Jun 30, 2018 | 39.52 |
| Mar 31, 2018 | 23.96 |
| Dec 31, 2017 | 28.34 |
| Sep 30, 2017 | 41.08 |
| Jun 30, 2017 | 27.75 |
| Mar 31, 2017 | 24.26 |
| Dec 31, 2016 | 23.71 |
API Access
Neogenomics 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=NEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();