Neogenomics (NEO) Operating Expenses (2010 - 2026)
Neogenomics' Operating Expenses was $101.65 million in Q2 2026, down 18.6% from $124.89 million a year earlier but up 2.6% from the prior quarter.
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Analysis
Neogenomics (NEO) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Neogenomics' Operating Expenses was $404.97 million through Jun 30, 2026, down 3.0% year-over-year; for FY2025, it was $430.17 million, up 12.6% from FY2024.
- Operating Expenses has now increased for 15 consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $382.21 million in FY2024 (+8.5%), $352.34 million in FY2023 (+2.0%), $345.52 million in FY2022 (+13.0%) and $305.81 million in FY2021 (+53.0%).
- Quarterly Operating Expenses has moved between $83.21 million (Q4 2022) and $124.89 million (Q2 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 6.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 76.0%); the worst was Q2 2026 (a decline of 18.6%).
- Per Business Quant data, NEO's Operating Expenses in the three quarters before Q2 2026 was $99.11 million (Q1 2026), $96.76 million (Q4 2025) and $107.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.83 Bn | 97.84 Bn | - | 17.74 Bn |
| 2 | Natera | 58.56 Bn | 54.24 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Labcorp Holdings | 26.23 Bn | 23.97 Bn | 1.11 Bn | 582.30 Mn |
| 4 | Quest Diagnostics | 26.14 Bn | 24.27 Bn | 1.03 Bn | 2.58 Bn |
| 5 | Tenet Healthcare | 22.64 Bn | 11.64 Bn | - | - |
| 6 | Guardant Health | 21.64 Bn | 17.70 Bn | 219.03 Mn | 464.10 Mn |
| 7 | BrightSpring Health Services | 12.85 Bn | 11.18 Bn | 492.75 Mn | 362.36 Mn |
| 8 | Fresenius Medical Care AG | 12.41 Bn | 4.36 Bn | 1.52 Bn | 901.58 Mn |
| 9 | Tempus AI | 12.34 Bn | 9.37 Bn | 246.50 Mn | 458.40 Mn |
| 10 | Neogenomics | 2.17 Bn | 1.56 Bn | 91.88 Mn | 101.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.65 Mn |
| Mar 31, 2026 | 99.11 Mn |
| Dec 31, 2025 | 96.76 Mn |
| Sep 30, 2025 | 107.46 Mn |
| Jun 30, 2025 | 124.89 Mn |
| Mar 31, 2025 | 101.07 Mn |
| Dec 31, 2024 | 95.66 Mn |
| Sep 30, 2024 | 96.08 Mn |
| Jun 30, 2024 | 94.44 Mn |
| Mar 31, 2024 | 96.04 Mn |
| Dec 31, 2023 | 86.16 Mn |
| Sep 30, 2023 | 86.51 Mn |
| Jun 30, 2023 | 89.79 Mn |
| Mar 31, 2023 | 89.89 Mn |
| Dec 31, 2022 | 83.21 Mn |
| Sep 30, 2022 | 88.40 Mn |
| Jun 30, 2022 | 83.65 Mn |
| Mar 31, 2022 | 90.26 Mn |
| Dec 31, 2021 | 86.82 Mn |
| Sep 30, 2021 | 86.95 Mn |
API Access
Neogenomics Operating 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=operating-expenses&ticker=NEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();