Neogenomics (NEO) Price to Book (2010 - 2026)
Neogenomics' (NEO) quarterly Price to Book came in at 2.38 in Q2 2026, up 115.65% on a YoY basis from 1.1 in Q2 2025, and up 104.62% quarter-over-quarter from 1.16 in Q1 2026.
Neogenomics (NEO) Price to Book (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported Price to Book for 17 consecutive years, with 2.38 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book rose 115.65% year-over-year to 2.38; the trailing twelve-month figure through Jun 2026 stood at 2.38 (up 115.65% YoY), and the FY2025 full-year result was 1.81, down 22.52% from the prior year.
- Price to Book grew to 2.38 in Q2 2026 per NEO's latest filing, from 1.16 in the prior quarter.
- Across five years, Price to Book topped out at 2.38 in Q2 2026 and bottomed at 0.98 in Q2 2022.
- Historically, Price to Book has averaged 1.69 across 5 years, with a median of 1.73 in 2023.
- The sharpest annual moves came in 2022 and 2023: Price to Book sank 79.66% in 2022, then soared 117.69% in 2023.
- Over 5 years, Price to Book stood at 1.18 in 2022, then soared by 86.28% to 2.19 in 2023, then climbed by 6.93% to 2.34 in 2024, then dropped by 22.52% to 1.81 in 2025, then surged by 30.99% to 2.38 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 2.38, 1.16, and 1.81 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 | 2.38 |
| Mar 31, 2026 | 1.16 |
| Dec 31, 2025 | 1.81 |
| Sep 30, 2025 | 1.19 |
| Jun 30, 2025 | 1.10 |
| Mar 31, 2025 | 1.37 |
| Dec 31, 2024 | 2.34 |
| Sep 30, 2024 | 2.08 |
| Jun 30, 2024 | 1.94 |
| Mar 31, 2024 | 2.17 |
| Dec 31, 2023 | 2.19 |
| Sep 30, 2023 | 1.65 |
| Jun 30, 2023 | 2.14 |
| Mar 31, 2023 | 2.27 |
| Dec 31, 2022 | 1.18 |
| Sep 30, 2022 | 1.08 |
| Jun 30, 2022 | 0.98 |
| Mar 31, 2022 | 1.41 |
| Dec 31, 2021 | 3.82 |
| Sep 30, 2021 | 5.23 |
Neogenomics Price to Book 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-book&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();