Neogenomics (NEO) Total Liabilities (2010 - 2026)
Neogenomics (NEO) recorded Total Liabilities of $566.51 million in Q2 2026, up 4.9% from $539.91 million a year earlier and up 9.4% from the prior quarter.
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Analysis
Neogenomics (NEO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Neogenomics reported Total Liabilities of $523.27 million, down 28.9% from FY2024.
- Annual Total Liabilities has declined for four straight years, though with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $735.7 million in FY2024 (-0.5%), $739.69 million in FY2023 (-0.3%), $742.01 million in FY2022 (-2.6%) and $761.5 million in FY2021 (+159.0%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities rose in two of the last eight quarters, with an average decline of 13.1%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 162.4% in Q3 2021, against a decline of 28.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $517.77 million (Q1 2026), $523.27 million (Q4 2025) and $536.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 102.50 Bn | 98.51 Bn | - | 69.89 Bn |
| 2 | Natera | 58.05 Bn | 53.74 Bn | 485.19 Mn | 836.00 Mn |
| 3 | Labcorp Holdings | 26.39 Bn | 24.13 Bn | 1.11 Bn | 9.93 Bn |
| 4 | Quest Diagnostics | 26.28 Bn | 24.41 Bn | 1.03 Bn | 9.12 Bn |
| 5 | Tenet Healthcare | 22.71 Bn | 11.72 Bn | - | 24.12 Bn |
| 6 | Guardant Health | 21.59 Bn | 17.65 Bn | 219.03 Mn | 2.14 Bn |
| 7 | BrightSpring Health Services | 12.87 Bn | 11.21 Bn | 492.75 Mn | 3.94 Bn |
| 8 | Fresenius Medical Care AG | 12.49 Bn | 4.44 Bn | 1.52 Bn | 20.29 Bn |
| 9 | Encompass Health | 12.04 Bn | 11.70 Bn | - | 4.05 Bn |
| 10 | Neogenomics | 2.15 Bn | 1.54 Bn | 91.88 Mn | 566.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 566.51 Mn |
| Mar 31, 2026 | 517.77 Mn |
| Dec 31, 2025 | 523.27 Mn |
| Sep 30, 2025 | 536.49 Mn |
| Jun 30, 2025 | 539.91 Mn |
| Mar 31, 2025 | 713.16 Mn |
| Dec 31, 2024 | 735.70 Mn |
| Sep 30, 2024 | 732.90 Mn |
| Jun 30, 2024 | 727.39 Mn |
| Mar 31, 2024 | 716.93 Mn |
| Dec 31, 2023 | 739.69 Mn |
| Sep 30, 2023 | 730.81 Mn |
| Jun 30, 2023 | 738.92 Mn |
| Mar 31, 2023 | 734.71 Mn |
| Dec 31, 2022 | 742.01 Mn |
| Sep 30, 2022 | 742.59 Mn |
| Jun 30, 2022 | 748.59 Mn |
| Mar 31, 2022 | 754.54 Mn |
| Dec 31, 2021 | 761.50 Mn |
| Sep 30, 2021 | 769.14 Mn |
API Access
Neogenomics Total 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-liabilities&ticker=NEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();