Neogenomics (NEO) Capital Expenditures (2010 - 2026)
Neogenomics' Capital Expenditures came in at $8.22 million for Q2 2026, up 30.0% from $6.32 million a year earlier and up 64.4% from the prior quarter.
Neogenomics (NEO) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Neogenomics reported Capital Expenditures of $29.4 million, down 11.5% 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 five-year range for quarterly Capital Expenditures is $4.27 million (Q3 2023) to $14.98 million (Q3 2021).
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 16.5%.
- 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 $5 million (Q1 2026), $7.87 million (Q4 2025) and $8.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 1.23 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 63.43 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 138.00 Mn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 131.60 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 168.00 Mn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 11.76 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 279.43 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 29.03 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 169.82 Mn |
| 10 | Neogenomics | 2.13 Bn | 1.51 Bn | 91.88 Mn | 8.22 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 14.98 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();