Neogenomics (NEO) Total Non-Current Liabilities (2012 - 2026)
Neogenomics' Total Non-Current Liabilities came in at $460.63 million for Q2 2026, up 4.7% from $439.79 million a year earlier and up 6.3% from the prior quarter.
Neogenomics (NEO) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Neogenomics' Total Non-Current Liabilities was $434.97 million, up 0.1% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $434.46 million in FY2024 (-32.5%), $643.39 million in FY2023 (-1.3%), $652.08 million in FY2022 (-3.3%) and $674.27 million in FY2021 (+205.3%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2024.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 11.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 205.3%), and the weakest in Q4 2024 (a decline of 32.5%).
- Business Quant data shows NEO's Total Non-Current Liabilities at $433.18 million (Q1 2026), $434.97 million (Q4 2025) and $438.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.81 Bn | 97.82 Bn | - | - |
| 2 | Natera | 57.66 Bn | 53.34 Bn | 485.19 Mn | 592.53 Mn |
| 3 | Labcorp Holdings | 26.22 Bn | 23.97 Bn | 1.11 Bn | 9.21 Bn |
| 4 | Quest Diagnostics | 26.14 Bn | 24.27 Bn | 1.03 Bn | 8.06 Bn |
| 5 | Tenet Healthcare | 22.56 Bn | 11.57 Bn | - | 21.36 Bn |
| 6 | Guardant Health | 21.11 Bn | 17.17 Bn | 219.03 Mn | 2.01 Bn |
| 7 | Fresenius Medical Care AG | 12.90 Bn | 4.85 Bn | 1.52 Bn | 12.09 Bn |
| 8 | BrightSpring Health Services | 12.84 Bn | 11.17 Bn | 492.75 Mn | 76.61 Mn |
| 9 | Davita | 12.22 Bn | 9.42 Bn | 1.16 Bn | 18.38 Bn |
| 10 | Neogenomics | 2.17 Bn | 1.56 Bn | 91.88 Mn | 460.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460.63 Mn |
| Mar 31, 2026 | 433.18 Mn |
| Dec 31, 2025 | 434.97 Mn |
| Sep 30, 2025 | 438.62 Mn |
| Jun 30, 2025 | 439.79 Mn |
| Mar 31, 2025 | 433.47 Mn |
| Dec 31, 2024 | 434.46 Mn |
| Sep 30, 2024 | 436.50 Mn |
| Jun 30, 2024 | 437.43 Mn |
| Mar 31, 2024 | 640.22 Mn |
| Dec 31, 2023 | 643.39 Mn |
| Sep 30, 2023 | 637.89 Mn |
| Jun 30, 2023 | 644.07 Mn |
| Mar 31, 2023 | 648.11 Mn |
| Dec 31, 2022 | 652.08 Mn |
| Sep 30, 2022 | 657.59 Mn |
| Jun 30, 2022 | 665.92 Mn |
| Mar 31, 2022 | 672.47 Mn |
| Dec 31, 2021 | 674.27 Mn |
| Sep 30, 2021 | 676.41 Mn |
Neogenomics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();