Neogenomics (NEO) Inventory (2010 - 2026)
Neogenomics' (NEO) quarterly Inventory came in at $27.1 million in Q2 2026, down 20.58% on a YoY basis from $34.2 million in Q2 2025, and down 9.05% quarter-over-quarter from $29.8 million in Q1 2026.
Neogenomics (NEO) Inventory (2010 - 2026) Analysis & Trends
Neogenomics (NEO) has reported Inventory for 17 consecutive years, with $27.1 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Inventory fell 20.58% year-over-year to $27.1 million; the trailing twelve-month figure through Jun 2026 stood at $27.1 million (down 20.58% YoY), and the FY2025 full-year result was $28.6 million, up 6.8% from the prior year.
- Inventory slipped to $27.1 million in Q2 2026 per NEO's latest filing, from $29.8 million in the prior quarter.
- Across five years, Inventory topped out at $34.2 million in Q2 2025 and bottomed at $20.3 million in Q1 2024.
- Historically, Inventory has averaged $25.8 million across 5 years, with a median of $24.4 million in 2023.
- The sharpest annual moves came in 2025 and 2026: Inventory surged 47.2% in 2025, then fell 20.58% in 2026.
- Over 5 years, Inventory stood at $24.3 million in 2022, then fell by 0.5% to $24.2 million in 2023, then increased by 10.73% to $26.7 million in 2024, then rose by 6.8% to $28.6 million in 2025, then decreased by 5.0% to $27.1 million in 2026.
- According to Business Quant data, Inventory over the past three periods registered $27.1 million, $29.8 million, and $28.6 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | 80.35 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 233.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 562.20 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | 105.46 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | 53.51 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 123.79 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 56.37 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 21.14 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | 10.50 Mn |
| 10 | Neogenomics | 2.55 Bn | 2.40 Bn | 91.88 Mn | 27.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.14 Mn |
| Mar 31, 2026 | 29.84 Mn |
| Dec 31, 2025 | 28.57 Mn |
| Sep 30, 2025 | 28.46 Mn |
| Jun 30, 2025 | 34.17 Mn |
| Mar 31, 2025 | 29.77 Mn |
| Dec 31, 2024 | 26.75 Mn |
| Sep 30, 2024 | 24.46 Mn |
| Jun 30, 2024 | 23.21 Mn |
| Mar 31, 2024 | 20.32 Mn |
| Dec 31, 2023 | 24.16 Mn |
| Sep 30, 2023 | 24.05 Mn |
| Jun 30, 2023 | 24.95 Mn |
| Mar 31, 2023 | 24.43 Mn |
| Dec 31, 2022 | 24.28 Mn |
| Sep 30, 2022 | 23.80 Mn |
| Jun 30, 2022 | 21.86 Mn |
| Mar 31, 2022 | 23.84 Mn |
| Dec 31, 2021 | 23.40 Mn |
| Sep 30, 2021 | 21.83 Mn |
Neogenomics Inventory 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=inventory&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();