Neogenomics (NEO) Debt Ratio (2010 - 2025)
Neogenomics' (NEO) Debt Ratio was 0.13 for Q1 2025, up 2.5% from the prior quarter.
Analysis
Neogenomics (NEO) Debt Ratio (2010 - 2025) Analysis & Trends
For FY2024, Debt Ratio at Neogenomics was 0.12.
- The Q1 2025 figure ranks as the highest quarterly Debt Ratio since Q1 2020.
- Per Business Quant data, the three quarters before Q1 2025 came in at 0.12 (Q4 2024), 0.12 (Q3 2024) and 0.12 (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 108.44 Bn | 104.53 Bn | - | 0.80 |
| 2 | Natera | 46.38 Bn | 42.00 Bn | 513.47 Mn | 0.03 |
| 3 | Labcorp Holdings | 30.37 Bn | 28.45 Bn | 1.11 Bn | 0.31 |
| 4 | Quest Diagnostics | 28.52 Bn | 26.28 Bn | 1.04 Bn | 0.32 |
| 5 | Tenet Healthcare | 23.21 Bn | 12.51 Bn | - | 0.42 |
| 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 | 0.35 |
| 9 | Encompass Health | 13.86 Bn | 13.49 Bn | - | 0.34 |
| 10 | Neogenomics | 2.26 Bn | 1.67 Bn | 96.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 0.13 |
| Dec 31, 2024 | 0.12 |
| Sep 30, 2024 | 0.12 |
| Jun 30, 2024 | 0.12 |
| Mar 31, 2020 | 0.13 |
| Dec 31, 2019 | 0.14 |
| Sep 30, 2019 | 0.14 |
| Jun 30, 2019 | 0.14 |
| Mar 31, 2019 | 0.19 |
| Dec 31, 2018 | 0.20 |
| Sep 30, 2018 | 0.21 |
| Jun 30, 2018 | 0.37 |
| Mar 31, 2018 | 0.25 |
| Dec 31, 2017 | 0.28 |
| Sep 30, 2017 | 0.28 |
| Jun 30, 2017 | 0.29 |
| Mar 31, 2017 | 0.32 |
| Dec 31, 2016 | 0.28 |
| Sep 30, 2016 | 0.15 |
| Jun 30, 2016 | 0.15 |
API Access
Neogenomics Debt Ratio 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=debt-ratio&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();