Neogenomics (NEO) Capital Expenditures (2010 - 2026)
Neogenomics' Capital Expenditures came in at $11.77 million for Q3 2026, up 41.6% from $8.31 million a year earlier and up 43.2% from the prior quarter.
Neogenomics (NEO) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Neogenomics reported Capital Expenditures of $32.86 million, up 6.9% year-over-year; for FY2025, it came in at $27.01 million, down 34.2% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $41.06 million in FY2024 (+42.8%), $28.75 million in FY2023 (-6.9%), $30.89 million in FY2022 (-51.8%) and $64.14 million in FY2021 (+120.4%).
- The Q3 2026 figure represents the highest quarterly Capital Expenditures since Q2 2024.
- Year-over-year, Capital Expenditures has increased for three consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2024 (growth of 152.7%), and the weakest in Q4 2022 (a decline of 62.2%).
- Business Quant data shows NEO's Capital Expenditures at $8.22 million (Q2 2026), $5 million (Q1 2026) and $7.87 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 108.44 Bn | 104.53 Bn | - | 1.36 Bn |
| 2 | Natera | 46.38 Bn | 42.00 Bn | 513.47 Mn | 38.68 Mn |
| 3 | Labcorp Holdings | 30.37 Bn | 28.45 Bn | 1.11 Bn | 151.60 Mn |
| 4 | Quest Diagnostics | 28.52 Bn | 26.28 Bn | 1.04 Bn | 166.00 Mn |
| 5 | Tenet Healthcare | 23.21 Bn | 12.51 Bn | - | 198.00 Mn |
| 6 | Guardant Health | 21.35 Bn | 16.97 Bn | 236.15 Mn | 13.48 Mn |
| 7 | Tempus AI | 15.33 Bn | 12.48 Bn | 266.70 Mn | 9.34 Mn |
| 8 | BrightSpring Health Services | 14.30 Bn | 12.05 Bn | 518.55 Mn | 22.09 Mn |
| 9 | Encompass Health | 13.86 Bn | 13.49 Bn | - | 234.50 Mn |
| 10 | Neogenomics | 2.26 Bn | 1.67 Bn | 96.59 Mn | 11.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.77 Mn |
| Jun 30, 2026 | 8.22 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | 7.87 Mn |
| Sep 30, 2025 | 8.31 Mn |
| Jun 30, 2025 | 6.32 Mn |
| Mar 31, 2025 | 4.50 Mn |
| Dec 31, 2024 | 11.60 Mn |
| Sep 30, 2024 | 10.80 Mn |
| Jun 30, 2024 | 13.08 Mn |
| Mar 31, 2024 | 5.59 Mn |
| Dec 31, 2023 | 7.06 Mn |
| Sep 30, 2023 | 4.27 Mn |
| Jun 30, 2023 | 7.49 Mn |
| Mar 31, 2023 | 9.93 Mn |
| Dec 31, 2022 | 4.53 Mn |
| Sep 30, 2022 | 7.84 Mn |
| Jun 30, 2022 | 10.29 Mn |
| Mar 31, 2022 | 8.22 Mn |
| Dec 31, 2021 | 11.99 Mn |
Neogenomics Capital Expenditures 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=capital-expenditures&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();