Neogenomics (NEO) Total Non-Current Liabilities (2012 - 2026)
Neogenomics' Total Non-Current Liabilities came in at $460.11 million for Q3 2026, up 4.9% from $438.62 million a year earlier but down 0.1% 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 five-year range for quarterly Total Non-Current Liabilities is $433.18 million (Q1 2026) to $674.27 million (Q4 2021).
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with an average decline of 6.8%.
- 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 $460.63 million (Q2 2026), $433.18 million (Q1 2026) and $434.97 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 108.44 Bn | 104.53 Bn | - | - |
| 2 | Natera | 46.38 Bn | 42.00 Bn | 513.47 Mn | 642.92 Mn |
| 3 | Labcorp Holdings | 30.37 Bn | 28.45 Bn | 1.11 Bn | 9.35 Bn |
| 4 | Quest Diagnostics | 28.52 Bn | 26.28 Bn | 1.04 Bn | 8.01 Bn |
| 5 | Tenet Healthcare | 23.21 Bn | 12.51 Bn | - | 21.34 Bn |
| 6 | Guardant Health | 21.35 Bn | 16.97 Bn | 236.15 Mn | 2.04 Bn |
| 7 | Tempus AI | 15.33 Bn | 12.48 Bn | 266.70 Mn | 1.90 Bn |
| 8 | BrightSpring Health Services | 14.30 Bn | 12.05 Bn | 518.55 Mn | 68.23 Mn |
| 9 | Encompass Health | 13.86 Bn | 13.49 Bn | - | 3.84 Bn |
| 10 | Neogenomics | 2.26 Bn | 1.67 Bn | 96.59 Mn | 460.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 460.11 Mn |
| 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 |
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();