Neogenomics (NEO) EV to CFO (2010 - 2026)
Neogenomics' (NEO) quarterly EV to CFO came in at 86.22 in Q2 2026, up 125.59% on a YoY basis from 38.22 in Q2 2025, and up 185.98% quarter-over-quarter from 100.27 in Q1 2026.
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Neogenomics (NEO) EV to CFO (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported EV to CFO for 17 consecutive years, with 86.22 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to CFO rose 125.59% year-over-year to 86.22; the trailing twelve-month figure through Jun 2026 stood at 78.04 (up 41.12% YoY), and the FY2025 full-year result was 259.52, up 5.66% from the prior year.
- EV to CFO advanced to 86.22 in Q2 2026 per NEO's latest filing, from 100.27 in the prior quarter.
- Across five years, EV to CFO topped out at 1010.64 in Q4 2025 and bottomed at 1055.47 in Q2 2023.
- Historically, EV to CFO has averaged 8.53 across 5 years, with a median of 33.4 in 2025.
- The sharpest annual moves came in 2023 and 2025: EV to CFO tumbled 3112.9% in 2023, then soared 474.17% in 2025.
- Over 5 years, EV to CFO stood at 199.37 in 2022, then jumped by 146.41% to 92.53 in 2023, then soared by 90.22% to 176.02 in 2024, then jumped by 474.17% to 1010.64 in 2025, then plunged by 91.47% to 86.22 in 2026.
- According to Business Quant data, EV to CFO over the past three periods registered 86.22, 100.27, and 1010.64 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.22 |
| Mar 31, 2026 | -100.27 |
| Dec 31, 2025 | 1,010.64 |
| Sep 30, 2025 | 93.52 |
| Jun 30, 2025 | 38.22 |
| Mar 31, 2025 | -33.96 |
| Dec 31, 2024 | 176.02 |
| Sep 30, 2024 | 162.35 |
| Jun 30, 2024 | 99.73 |
| Mar 31, 2024 | -62.45 |
| Dec 31, 2023 | 92.53 |
| Sep 30, 2023 | -211.58 |
| Jun 30, 2023 | -1,055.47 |
| Mar 31, 2023 | -141.56 |
| Dec 31, 2022 | -199.37 |
| Sep 30, 2022 | -39.71 |
| Jun 30, 2022 | -32.85 |
| Mar 31, 2022 | -35.60 |
| Dec 31, 2021 | -188.06 |
| Sep 30, 2021 | -695.41 |
API Access
Neogenomics EV to CFO 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-cfo&ticker=NEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();