Neogenomics (NEO) Other Operating Expenses (2010 - 2026)
Neogenomics (NEO) posted Other Operating Expenses of $37.46 million for Q3 2026, up 22.8% from $30.5 million a year earlier but down 1.5% from the prior quarter.
Neogenomics (NEO) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at Neogenomics was $141.43 million, up 11.7% year-over-year; for FY2025, it came in at $129.04 million, up 11.9% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In prior years, Neogenomics' Other Operating Expenses was $115.31 million in FY2024 (+19.6%), $96.45 million in FY2023 (-0.5%), $96.93 million in FY2022 (+14.8%) and $84.47 million in FY2021 (+50.6%).
- Quarterly Other Operating Expenses has run from a low of $22.73 million in Q1 2023 to a high of $38.04 million in Q2 2026 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 12 quarters, with growth averaging 13.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2021, with growth of 60.7%; the weakest was Q4 2022, with a decline of 5.4%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $38.04 million (Q2 2026), $33.36 million (Q1 2026) and $32.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 108.44 Bn | 104.53 Bn | - |
| 2 | Natera | 46.38 Bn | 42.00 Bn | 513.47 Mn |
| 3 | Labcorp Holdings | 30.37 Bn | 28.45 Bn | 1.11 Bn |
| 4 | Quest Diagnostics | 28.52 Bn | 26.28 Bn | 1.04 Bn |
| 5 | Tenet Healthcare | 23.21 Bn | 12.51 Bn | - |
| 6 | Guardant Health | 21.35 Bn | 16.97 Bn | 236.15 Mn |
| 7 | Tempus AI | 15.33 Bn | 12.48 Bn | 266.70 Mn |
| 8 | BrightSpring Health Services | 14.30 Bn | 12.05 Bn | 518.55 Mn |
| 9 | Encompass Health | 13.86 Bn | 13.49 Bn | - |
| 10 | Neogenomics | 2.26 Bn | 1.67 Bn | 96.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.60 Mn |
| Jun 30, 2026 | 27.28 Mn |
| Mar 31, 2026 | 23.83 Mn |
| Dec 31, 2025 | 24.07 Mn |
| Sep 30, 2025 | 28.89 Mn |
| Jun 30, 2025 | 44.12 Mn |
| Mar 31, 2025 | 22.68 Mn |
| Dec 31, 2024 | 22.34 Mn |
| Sep 30, 2024 | 20.42 Mn |
| Jun 30, 2024 | 21.68 Mn |
| Mar 31, 2024 | 20.22 Mn |
| Dec 31, 2023 | 18.07 Mn |
| Sep 30, 2023 | 17.61 Mn |
| Jun 30, 2023 | 18.90 Mn |
| Mar 31, 2023 | 16.26 Mn |
| Dec 31, 2022 | 17.14 Mn |
| Sep 30, 2022 | 16.81 Mn |
| Jun 30, 2022 | 17.07 Mn |
| Mar 31, 2022 | 16.30 Mn |
| Dec 31, 2021 | 15.92 Mn |
Neogenomics Other 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=other-operating-expenses&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();