Neogenomics (NEO) Accumulated Expenses (2010 - 2026)
Neogenomics' (NEO) quarterly Accumulated Expenses came in at $56.3 million in Q2 2026, up 15.87% on a YoY basis from $48.6 million in Q2 2025, and up 38.67% quarter-over-quarter from $40.6 million in Q1 2026.
Neogenomics (NEO) Accumulated Expenses (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported Accumulated Expenses for 17 consecutive years, with $56.3 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 15.87% year-over-year to $56.3 million; the trailing twelve-month figure through Jun 2026 stood at $56.3 million (up 15.87% YoY), and the FY2025 full-year result was $47.6 million, down 23.8% from the prior year.
- Accumulated Expenses advanced to $56.3 million in Q2 2026 per NEO's latest filing, from $40.6 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $62.4 million in Q4 2024 and bottomed at $32.3 million in Q1 2022.
- Historically, Accumulated Expenses has averaged $45.1 million across 5 years, with a median of $46.6 million in 2023.
- The sharpest annual moves came in 2022 and 2025: Accumulated Expenses surged 36.83% in 2022, then fell 23.8% in 2025.
- Over 5 years, Accumulated Expenses stood at $40.1 million in 2022, then surged by 32.44% to $53.2 million in 2023, then gained by 17.46% to $62.4 million in 2024, then declined by 23.8% to $47.6 million in 2025, then gained by 18.25% to $56.3 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $56.3 million, $40.6 million, and $47.6 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 | 56.27 Mn |
| Mar 31, 2026 | 40.58 Mn |
| Dec 31, 2025 | 47.58 Mn |
| Sep 30, 2025 | 51.30 Mn |
| Jun 30, 2025 | 48.56 Mn |
| Mar 31, 2025 | 39.49 Mn |
| Dec 31, 2024 | 62.44 Mn |
| Sep 30, 2024 | 52.17 Mn |
| Jun 30, 2024 | 50.88 Mn |
| Mar 31, 2024 | 34.61 Mn |
| Dec 31, 2023 | 53.16 Mn |
| Sep 30, 2023 | 47.59 Mn |
| Jun 30, 2023 | 45.69 Mn |
| Mar 31, 2023 | 32.89 Mn |
| Dec 31, 2022 | 40.14 Mn |
| Sep 30, 2022 | 37.99 Mn |
| Jun 30, 2022 | 37.28 Mn |
| Mar 31, 2022 | 32.32 Mn |
| Dec 31, 2021 | 38.30 Mn |
| Sep 30, 2021 | 32.28 Mn |
Neogenomics Accumulated Expenses 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=accumulated-expenses&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();