Neogenomics (NEO) Long-Term Debt Repayments (2010 - 2020)
Neogenomics' Long-Term Debt Repayments came in at $201.25 million for FY2025.
Powered by 
Analysis
Neogenomics (NEO) Long-Term Debt Repayments (2010 - 2020) Analysis & Trends
Going back to FY2010, Neogenomics' Long-Term Debt Repayments data covers 12 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Long-Term Debt Repayments in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 2.55 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | - |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 500.00 Mn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 500.00 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 26.00 Mn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | - |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 505.70 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 309.91 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 1.35 Bn |
| 10 | Neogenomics | 2.13 Bn | 1.51 Bn | 91.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 96.29 Mn |
| Mar 31, 2020 | 1.25 Mn |
| Dec 31, 2019 | 2.50 Mn |
| Jun 30, 2019 | 99.78 Mn |
| Mar 31, 2019 | 1.97 Mn |
| Dec 31, 2018 | -3.46 Mn |
| Sep 30, 2018 | 33.07 Mn |
| Jun 30, 2018 | 2.56 Mn |
| Mar 31, 2018 | 7.73 Mn |
| Dec 31, 2017 | -3.19 Mn |
| Sep 30, 2017 | 2.31 Mn |
| Jun 30, 2017 | 2.44 Mn |
| Mar 31, 2017 | 2.20 Mn |
| Dec 31, 2016 | 56.01 Mn |
| Sep 30, 2016 | 1.68 Mn |
| Jun 30, 2016 | 1.23 Mn |
| Mar 31, 2016 | 1.38 Mn |
| Dec 31, 2015 | 1.20 Mn |
| Sep 30, 2015 | 1.08 Mn |
| Jun 30, 2015 | 912,000.00 |
API Access
Neogenomics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();