Neogenomics (NEO) Shares Outstanding (Diluted) (2011 - 2026)
Neogenomics' Shares Outstanding (Diluted) came in at 130.83 million for Q2 2026, up 2.3% from 127.95 million a year earlier and up 1.3% from the prior quarter.
Neogenomics (NEO) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Neogenomics' Shares Outstanding (Diluted) was 128.1 million, up 1.1% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last 14 years, with a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 126.66 million in FY2024 (+0.9%), 125.5 million in FY2023 (+1.0%), 124.22 million in FY2022 (+3.5%) and 119.96 million in FY2021 (+7.3%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) since Q2 2021.
- Year-over-year, Shares Outstanding (Diluted) has increased for 16 consecutive quarters, with growth averaging 1.3% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q4 2021 (growth of 7.3%), and the weakest in Q2 2022 (a decline of 5.5%).
- Business Quant data shows NEO's Shares Outstanding (Diluted) at 129.17 million (Q1 2026), 128.1 million (Q4 2025) and 128.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 222.83 Mn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 143.28 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 112.00 Mn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 82.00 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 83.96 Mn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 132.87 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 612.52 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 220.28 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 66.09 Mn |
| 10 | Neogenomics | 2.13 Bn | 1.51 Bn | 91.88 Mn | 130.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.83 Mn |
| Mar 31, 2026 | 129.17 Mn |
| Dec 31, 2025 | 128.10 Mn |
| Sep 30, 2025 | 128.42 Mn |
| Jun 30, 2025 | 127.95 Mn |
| Mar 31, 2025 | 127.38 Mn |
| Dec 31, 2024 | 126.66 Mn |
| Sep 30, 2024 | 126.95 Mn |
| Jun 30, 2024 | 126.41 Mn |
| Mar 31, 2024 | 126.11 Mn |
| Dec 31, 2023 | 125.50 Mn |
| Sep 30, 2023 | 125.69 Mn |
| Jun 30, 2023 | 125.36 Mn |
| Mar 31, 2023 | 125.03 Mn |
| Dec 31, 2022 | 124.22 Mn |
| Sep 30, 2022 | 124.43 Mn |
| Jun 30, 2022 | 124.07 Mn |
| Mar 31, 2022 | 123.63 Mn |
| Dec 31, 2021 | 119.96 Mn |
| Sep 30, 2021 | 122.56 Mn |
Neogenomics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();