Neogenomics (NEO) EV to EBIT (2010 - 2026)
Neogenomics' (NEO) quarterly EV to EBIT came in at 176.11 in Q2 2026, down 979.55% on a YoY basis from 20.02 in Q2 2025, and down 293.74% quarter-over-quarter from 44.73 in Q1 2026.
Neogenomics (NEO) EV to EBIT (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported EV to EBIT for 17 consecutive years, with 176.11 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBIT fell 979.55% year-over-year to 176.11; the trailing twelve-month figure through Jun 2026 stood at 25.14 (down 272.3% YoY), and the FY2025 full-year result was 11.71, up 37.46% from the prior year.
- EV to EBIT fell to 176.11 in Q2 2026 per NEO's latest filing, from 44.73 in the prior quarter.
- Across five years, EV to EBIT topped out at 14.06 in Q2 2022 and bottomed at 176.11 in Q2 2026.
- Historically, EV to EBIT has averaged 55.63 across 5 years, with a median of 49.65 in 2023.
- The sharpest annual moves came in 2022 and 2026: EV to EBIT soared 93.81% in 2022, then slumped 979.55% in 2026.
- Over 5 years, EV to EBIT stood at 27.85 in 2022, then sank by 218.16% to 88.6 in 2023, then fell by 5.81% to 93.74 in 2024, then fell by 7.94% to 101.18 in 2025, then tumbled by 74.05% to 176.11 in 2026.
- According to Business Quant data, EV to EBIT over the past three periods registered 176.11, 44.73, and 101.18 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn |
| 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 |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 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 |
|---|---|
| Jun 30, 2026 | -176.11 |
| Mar 31, 2026 | -44.73 |
| Dec 31, 2025 | -101.18 |
| Sep 30, 2025 | -30.76 |
| Jun 30, 2025 | -16.31 |
| Mar 31, 2025 | -30.91 |
| Dec 31, 2024 | -93.74 |
| Sep 30, 2024 | -70.82 |
| Jun 30, 2024 | -63.14 |
| Mar 31, 2024 | -52.95 |
| Dec 31, 2023 | -88.60 |
| Sep 30, 2023 | -48.07 |
| Jun 30, 2023 | -54.66 |
| Mar 31, 2023 | -51.23 |
| Dec 31, 2022 | -27.85 |
| Sep 30, 2022 | -16.35 |
| Jun 30, 2022 | -14.06 |
| Mar 31, 2022 | -19.87 |
| Dec 31, 2021 | -89.47 |
| Sep 30, 2021 | -136.01 |
Neogenomics EV to EBIT 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-ebit&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();