Neogenomics (NEO) Prepaid Assets (2010 - 2026)
Neogenomics' (NEO) quarterly Prepaid Assets came in at $23.6 million in Q2 2026, up 3.32% on a YoY basis from $22.8 million in Q2 2025, and little changed quarter-over-quarter from $23.7 million in Q1 2026.
Neogenomics (NEO) Prepaid Assets (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported Prepaid Assets for 17 consecutive years, with $23.6 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Prepaid Assets rose 3.32% year-over-year to $23.6 million; the trailing twelve-month figure through Jun 2026 stood at $23.6 million (up 3.32% YoY), and the FY2025 full-year result was $21.4 million, up 6.34% from the prior year.
- Prepaid Assets held at $23.6 million in Q2 2026 per NEO's latest filing, from $23.7 million in the prior quarter.
- Across five years, Prepaid Assets topped out at $23.7 million in Q1 2026 and bottomed at $15.2 million in Q4 2022.
- Historically, Prepaid Assets has averaged $19.4 million across 5 years, with a median of $18.9 million in 2023.
- The sharpest annual moves came in 2022 and 2023: Prepaid Assets surged 86.88% in 2022, then decreased 21.79% in 2023.
- Over 5 years, Prepaid Assets stood at $15.2 million in 2022, then gained by 18.05% to $18.0 million in 2023, then increased by 12.11% to $20.2 million in 2024, then rose by 6.34% to $21.4 million in 2025, then increased by 10.01% to $23.6 million in 2026.
- According to Business Quant data, Prepaid Assets over the past three periods registered $23.6 million, $23.7 million, and $21.4 million 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 | 23.59 Mn |
| Mar 31, 2026 | 23.67 Mn |
| Dec 31, 2025 | 21.44 Mn |
| Sep 30, 2025 | 21.99 Mn |
| Jun 30, 2025 | 22.83 Mn |
| Mar 31, 2025 | 22.98 Mn |
| Dec 31, 2024 | 20.17 Mn |
| Sep 30, 2024 | 18.24 Mn |
| Jun 30, 2024 | 17.40 Mn |
| Mar 31, 2024 | 19.16 Mn |
| Dec 31, 2023 | 17.99 Mn |
| Sep 30, 2023 | 18.68 Mn |
| Jun 30, 2023 | 16.57 Mn |
| Mar 31, 2023 | 16.19 Mn |
| Dec 31, 2022 | 15.24 Mn |
| Sep 30, 2022 | 16.51 Mn |
| Jun 30, 2022 | 16.66 Mn |
| Mar 31, 2022 | 20.69 Mn |
| Dec 31, 2021 | 12.35 Mn |
| Sep 30, 2021 | 15.76 Mn |
Neogenomics Prepaid Assets 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=prepaid-assets&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();