Veracyte (VCYT) Inventory (2012 - 2025)
Veracyte's (VCYT) quarterly Inventory came in at $20.5 million in Q4 2025, down 5.54% year-over-year from $21.8 million in Q4 2024, and up 1.08% quarter-over-quarter from $20.3 million in Q3 2025.
Veracyte (VCYT) Inventory (2012 - 2025) Analysis & Trends
Veracyte has disclosed Inventory across 14 years of filings, most recently posting $20.5 million for Q4 2025.
- In Q4 2025, Inventory fell 5.54% year-over-year to $20.5 million; the TTM figure through Dec 2025 stood at $20.5 million (down 5.54% YoY), while the FY2025 annual figure was $20.5 million, down 5.54% from the prior year.
- Inventory came in at $20.5 million for Q4 2025 at Veracyte, up from $20.3 million in the prior quarter.
- In the past five years, Inventory ranged from a high of $25.0 million in Q2 2025 to a low of $6.3 million in Q1 2021.
- Average Inventory over 5 years is $15.8 million, with a median of $15.2 million recorded in 2022.
- Year-over-year, Inventory soared 141.04% in 2021 and decreased 20.74% in 2023.
- Over 5 years, Inventory stood at $11.2 million in 2021, then increased by 27.34% to $14.3 million in 2022, then rose by 12.83% to $16.1 million in 2023, then jumped by 34.86% to $21.8 million in 2024, then decreased by 5.54% to $20.5 million in 2025.
- Per Business Quant data, the three most recent Inventory figures were $20.5 million in Q4 2025, $20.3 million in Q3 2025, and $25.0 million in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | 80.35 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 233.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 562.20 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | 105.46 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | 53.51 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 123.79 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 56.37 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 21.14 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | 10.50 Mn |
| 10 | Veracyte | 3.20 Bn | 2.90 Bn | 108.55 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 20.55 Mn |
| Sep 30, 2025 | 20.33 Mn |
| Jun 30, 2025 | 25.02 Mn |
| Mar 31, 2025 | 24.25 Mn |
| Dec 31, 2024 | 21.75 Mn |
| Sep 30, 2024 | 20.36 Mn |
| Jun 30, 2024 | 19.26 Mn |
| Mar 31, 2024 | 18.33 Mn |
| Dec 31, 2023 | 16.13 Mn |
| Sep 30, 2023 | 15.89 Mn |
| Jun 30, 2023 | 11.57 Mn |
| Mar 31, 2023 | 13.31 Mn |
| Dec 31, 2022 | 14.29 Mn |
| Sep 30, 2022 | 13.80 Mn |
| Jun 30, 2022 | 14.60 Mn |
| Mar 31, 2022 | 12.37 Mn |
| Dec 31, 2021 | 11.23 Mn |
| Sep 30, 2021 | 9.82 Mn |
| Jun 30, 2021 | 6.67 Mn |
| Mar 31, 2021 | 6.31 Mn |
Veracyte Inventory 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=inventory&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();