Veracyte (VCYT) Total Non-Current Liabilities (2012 - 2026)
Veracyte (VCYT) recorded Total Non-Current Liabilities of $97.04 million in Q2 2026, down 20.8% from $122.47 million a year earlier but up 6.9% from the prior quarter.
Veracyte (VCYT) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Veracyte reported Total Non-Current Liabilities of $94.85 million, down 23.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $123.51 million in FY2024 (+76.4%), $70.02 million in FY2023 (-11.1%), $78.72 million in FY2022 (-8.0%) and $85.59 million in FY2021 (+202.0%).
- Quarterly Total Non-Current Liabilities has ranged from $67.98 million in Q1 2024 to $123.51 million in Q4 2024 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with growth averaging 21.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 202.0% in Q4 2021, against a decline of 24.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $90.76 million (Q1 2026), $94.85 million (Q4 2025) and $109.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 108.20 Bn | 104.30 Bn | - | - |
| 2 | Natera | 46.17 Bn | 41.80 Bn | 513.47 Mn | 642.92 Mn |
| 3 | Labcorp Holdings | 29.69 Bn | 27.77 Bn | 1.11 Bn | 9.35 Bn |
| 4 | Quest Diagnostics | 28.14 Bn | 25.91 Bn | 1.04 Bn | 8.01 Bn |
| 5 | Tenet Healthcare | 23.04 Bn | 12.35 Bn | - | 21.34 Bn |
| 6 | Guardant Health | 21.32 Bn | 16.94 Bn | 236.15 Mn | 2.04 Bn |
| 7 | Tempus AI | 14.79 Bn | 11.95 Bn | 266.70 Mn | 1.90 Bn |
| 8 | BrightSpring Health Services | 14.35 Bn | 12.11 Bn | 518.55 Mn | 68.23 Mn |
| 9 | Encompass Health | 13.83 Bn | 13.46 Bn | - | 3.84 Bn |
| 10 | Veracyte | 2.03 Bn | 786.49 Mn | 108.55 Mn | 96.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.78 Mn |
| Mar 31, 2026 | 90.50 Mn |
| Dec 31, 2025 | 94.60 Mn |
| Sep 30, 2025 | 109.54 Mn |
| Jun 30, 2025 | 121.97 Mn |
| Mar 31, 2025 | 119.46 Mn |
| Dec 31, 2024 | 123.10 Mn |
| Sep 30, 2024 | 84.18 Mn |
| Jun 30, 2024 | 87.38 Mn |
| Mar 31, 2024 | 67.45 Mn |
| Dec 31, 2023 | 69.50 Mn |
| Sep 30, 2023 | 69.62 Mn |
| Jun 30, 2023 | 72.75 Mn |
| Mar 31, 2023 | 70.30 Mn |
| Dec 31, 2022 | 77.79 Mn |
| Sep 30, 2022 | 74.22 Mn |
| Jun 30, 2022 | 76.48 Mn |
| Mar 31, 2022 | 81.29 Mn |
| Dec 31, 2021 | 84.18 Mn |
| Sep 30, 2021 | 72.13 Mn |
Veracyte 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=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VCYT", "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=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();