Neogenomics (NEO) EV to FCF (2010 - 2026)
Neogenomics' (NEO) quarterly EV to FCF came in at 146.57 in Q2 2026, up 164.24% on a YoY basis from 55.47 in Q2 2025, and up 336.01% quarter-over-quarter from 62.11 in Q1 2026.
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Neogenomics (NEO) EV to FCF (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported EV to FCF for 17 consecutive years, with 146.57 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to FCF rose 164.24% year-over-year to 146.57; the trailing twelve-month figure through Jun 2026 stood at 233.96 (down 477.3% YoY), and the FY2025 full-year result was 62.32, down 22.98% from the prior year.
- EV to FCF improved to 146.57 in Q2 2026 per NEO's latest filing, from 62.11 in the prior quarter.
- Across five years, EV to FCF topped out at 1702.01 in Q2 2024 and bottomed at 966.58 in Q3 2024.
- Historically, EV to FCF has averaged 38.66 across 5 years, with a median of 40.11 in 2024.
- The sharpest annual moves came in 2023 and 2024: EV to FCF sank 783.2% in 2023, then soared 1041.91% in 2024.
- Over 5 years, EV to FCF stood at 89.39 in 2022, then jumped by 271.62% to 153.41 in 2023, then sank by 725.03% to 958.86 in 2024, then surged by 78.32% to 207.92 in 2025, then jumped by 170.5% to 146.57 in 2026.
- According to Business Quant data, EV to FCF over the past three periods registered 146.57, 62.11, and 207.92 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 | 146.57 |
| Mar 31, 2026 | -62.11 |
| Dec 31, 2025 | -207.92 |
| Sep 30, 2025 | 1,457.68 |
| Jun 30, 2025 | 55.47 |
| Mar 31, 2025 | -28.83 |
| Dec 31, 2024 | -958.86 |
| Sep 30, 2024 | -966.58 |
| Jun 30, 2024 | 1,702.01 |
| Mar 31, 2024 | -51.38 |
| Dec 31, 2023 | 153.41 |
| Sep 30, 2023 | -119.03 |
| Jun 30, 2023 | -180.70 |
| Mar 31, 2023 | -79.43 |
| Dec 31, 2022 | -89.39 |
| Sep 30, 2022 | -26.79 |
| Jun 30, 2022 | -20.46 |
| Mar 31, 2022 | -27.75 |
| Dec 31, 2021 | -117.09 |
| Sep 30, 2021 | -237.48 |
API Access
Neogenomics EV to FCF 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-fcf&ticker=NEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();