Neogenomics (NEO) Price to Earnings (2010 - 2026)
Neogenomics' (NEO) quarterly Price to Earnings came in at 833.92 in Q2 2026, up 4097.53% on a YoY basis from 19.87 in Q2 2025, and up 1582.81% quarter-over-quarter from 56.24 in Q1 2026.
Neogenomics (NEO) Price to Earnings (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported Price to Earnings for 17 consecutive years, with 833.92 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 4097.53% year-over-year to 833.92; the trailing twelve-month figure through Jun 2026 stood at 35.98 (down 297.89% YoY), and the FY2025 full-year result was 14.04, up 47.65% from the prior year.
- Price to Earnings climbed to 833.92 in Q2 2026 per NEO's latest filing, from 56.24 in the prior quarter.
- Across five years, Price to Earnings topped out at 833.92 in Q2 2026 and bottomed at 153.52 in Q4 2025.
- Historically, Price to Earnings has averaged 23.29 across 5 years, with a median of 64.08 in 2023.
- The sharpest annual moves came in 2023 and 2026: Price to Earnings plunged 189.43% in 2023, then jumped 4097.53% in 2026.
- Over 5 years, Price to Earnings stood at 51.69 in 2022, then sank by 178.3% to 143.85 in 2023, then grew by 4.2% to 137.81 in 2024, then dropped by 11.4% to 153.52 in 2025, then jumped by 643.21% to 833.92 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 833.92, 56.24, and 153.52 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 | 833.92 |
| Mar 31, 2026 | -56.24 |
| Dec 31, 2025 | -153.52 |
| Sep 30, 2025 | -36.68 |
| Jun 30, 2025 | -20.86 |
| Mar 31, 2025 | -46.99 |
| Dec 31, 2024 | -137.81 |
| Sep 30, 2024 | -106.72 |
| Jun 30, 2024 | -95.12 |
| Mar 31, 2024 | -74.03 |
| Dec 31, 2023 | -143.85 |
| Sep 30, 2023 | -84.54 |
| Jun 30, 2023 | -83.98 |
| Mar 31, 2023 | -71.91 |
| Dec 31, 2022 | -51.69 |
| Sep 30, 2022 | -29.57 |
| Jun 30, 2022 | -29.01 |
| Mar 31, 2022 | -30.67 |
| Dec 31, 2021 | -101.40 |
| Sep 30, 2021 | -292.12 |
Neogenomics Price to Earnings 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=price-to-earnings&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();