Neogenomics (NEO) Total Current Liabilities (2010 - 2026)
Neogenomics' Total Current Liabilities was $116.17 million in Q3 2026, up 18.7% from $97.87 million a year earlier and up 9.7% from the prior quarter.
Neogenomics (NEO) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Neogenomics came in at $88.3 million, down 70.7% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $301.24 million in FY2024 (+212.8%), $96.3 million in FY2023 (+7.1%), $89.93 million in FY2022 (+3.1%) and $87.23 million in FY2021 (+19.2%).
- The Q3 2026 figure marks the highest quarterly Total Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Current Liabilities was higher in four of the last eight quarters, with growth averaging 28.6%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2025 (growth of 264.6%); the worst was Q4 2025 (a decline of 70.7%).
- Per Business Quant data, NEO's Total Current Liabilities in the three quarters before Q3 2026 was $105.88 million (Q2 2026), $84.59 million (Q1 2026) and $88.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 108.44 Bn | 104.53 Bn | - | 19.78 Bn |
| 2 | Natera | 46.38 Bn | 42.00 Bn | 513.47 Mn | 612.90 Mn |
| 3 | Labcorp Holdings | 30.37 Bn | 28.45 Bn | 1.11 Bn | 2.82 Bn |
| 4 | Quest Diagnostics | 28.52 Bn | 26.28 Bn | 1.04 Bn | 1.83 Bn |
| 5 | Tenet Healthcare | 23.21 Bn | 12.51 Bn | - | 5.32 Bn |
| 6 | Guardant Health | 21.35 Bn | 16.97 Bn | 236.15 Mn | 373.17 Mn |
| 7 | Tempus AI | 15.33 Bn | 12.48 Bn | 266.70 Mn | 436.41 Mn |
| 8 | BrightSpring Health Services | 14.30 Bn | 12.05 Bn | 518.55 Mn | 1.71 Bn |
| 9 | Encompass Health | 13.86 Bn | 13.49 Bn | - | 927.40 Mn |
| 10 | Neogenomics | 2.26 Bn | 1.67 Bn | 96.59 Mn | 116.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.17 Mn |
| Jun 30, 2026 | 105.88 Mn |
| Mar 31, 2026 | 84.59 Mn |
| Dec 31, 2025 | 88.30 Mn |
| Sep 30, 2025 | 97.87 Mn |
| Jun 30, 2025 | 100.12 Mn |
| Mar 31, 2025 | 279.70 Mn |
| Dec 31, 2024 | 301.24 Mn |
| Sep 30, 2024 | 296.41 Mn |
| Jun 30, 2024 | 289.96 Mn |
| Mar 31, 2024 | 76.71 Mn |
| Dec 31, 2023 | 96.30 Mn |
| Sep 30, 2023 | 92.93 Mn |
| Jun 30, 2023 | 94.85 Mn |
| Mar 31, 2023 | 86.61 Mn |
| Dec 31, 2022 | 89.93 Mn |
| Sep 30, 2022 | 85.00 Mn |
| Jun 30, 2022 | 82.67 Mn |
| Mar 31, 2022 | 82.07 Mn |
| Dec 31, 2021 | 87.23 Mn |
Neogenomics Total 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-current-liabilities&ticker=NEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();