Veracyte (VCYT) Total Liabilities (2012 - 2026)
Veracyte's (VCYT) quarterly Total Liabilities came in at $98.0 million in Q2 2026, down 20.39% year-over-year from $123.0 million in Q2 2025, and up 6.49% quarter-over-quarter from $92.0 million in Q1 2026.
Veracyte (VCYT) Total Liabilities (2012 - 2026) Analysis & Trends
Veracyte has disclosed Total Liabilities across 15 years of filings, most recently posting $98.0 million for Q2 2026.
- In Q2 2026, Total Liabilities fell 20.39% year-over-year to $98.0 million; the TTM figure through Jun 2026 stood at $98.0 million (down 20.39% YoY), while the FY2025 annual figure was $96.4 million, down 22.27% from the prior year.
- Total Liabilities came in at $98.0 million for Q2 2026 at Veracyte, up from $92.0 million in the prior quarter.
- In the past five years, Total Liabilities ranged from a high of $124.1 million in Q4 2024 to a low of $70.8 million in Q4 2023.
- Average Total Liabilities over 5 years is $92.8 million, with a median of $90.2 million recorded in 2022.
- Year-over-year, Total Liabilities soared 75.23% in 2024 and retreated 23.64% in 2026.
- Over 5 years, Total Liabilities stood at $81.2 million in 2022, then fell by 12.83% to $70.8 million in 2023, then surged by 75.23% to $124.1 million in 2024, then fell by 22.27% to $96.4 million in 2025, then grew by 1.58% to $98.0 million in 2026.
- Per Business Quant data, the three most recent Total Liabilities figures were $98.0 million in Q2 2026, $92.0 million in Q1 2026, and $96.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | 836.00 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 9.12 Bn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 9.91 Bn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | 2.14 Bn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | 1.92 Bn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 637.89 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 2.64 Bn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 192.89 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | 490.02 Mn |
| 10 | Veracyte | 3.20 Bn | 2.90 Bn | 108.55 Mn | 97.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.96 Mn |
| Mar 31, 2026 | 91.99 Mn |
| Dec 31, 2025 | 96.44 Mn |
| Sep 30, 2025 | 110.12 Mn |
| Jun 30, 2025 | 123.05 Mn |
| Mar 31, 2025 | 120.48 Mn |
| Dec 31, 2024 | 124.07 Mn |
| Sep 30, 2024 | 98.98 Mn |
| Jun 30, 2024 | 101.80 Mn |
| Mar 31, 2024 | 81.42 Mn |
| Dec 31, 2023 | 70.80 Mn |
| Sep 30, 2023 | 70.88 Mn |
| Jun 30, 2023 | 78.40 Mn |
| Mar 31, 2023 | 75.86 Mn |
| Dec 31, 2022 | 81.22 Mn |
| Sep 30, 2022 | 77.78 Mn |
| Jun 30, 2022 | 80.05 Mn |
| Mar 31, 2022 | 88.40 Mn |
| Dec 31, 2021 | 91.31 Mn |
| Sep 30, 2021 | 79.28 Mn |
Veracyte 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=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();