Veracyte (VCYT) Operating Expenses (2012 - 2026)
Veracyte's (VCYT) quarterly Operating Expenses came in at $85.6 million in Q2 2026, down 9.96% year-over-year from $95.0 million in Q2 2025, and up 8.99% quarter-over-quarter from $78.5 million in Q1 2026.
Veracyte (VCYT) Operating Expenses (2012 - 2026) Analysis & Trends
Veracyte has disclosed Operating Expenses across 15 years of filings, most recently posting $85.6 million for Q2 2026.
- In Q2 2026, Operating Expenses fell 9.96% year-over-year to $85.6 million; the TTM figure through Jun 2026 stood at $297.2 million (down 5.11% YoY), while the FY2025 annual figure was $304.8 million, up 8.07% from the prior year.
- Operating Expenses came in at $85.6 million for Q2 2026 at Veracyte, up from $78.5 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $100.3 million in Q4 2023 to a low of -$35.1 million in Q4 2022.
- Average Operating Expenses over 5 years is $73.0 million, with a median of $77.6 million recorded in 2025.
- Year-over-year, Operating Expenses plunged 144.1% in 2022 and jumped 385.43% in 2023.
- Over 5 years, Operating Expenses stood at -$35.1 million in 2022, then jumped by 385.43% to $100.3 million in 2023, then declined by 25.64% to $74.6 million in 2024, then fell by 13.14% to $64.8 million in 2025, then soared by 32.1% to $85.6 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $85.6 million in Q2 2026, $78.5 million in Q1 2026, and $64.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | 828.54 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 2.58 Bn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 582.30 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | 464.10 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | 458.40 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 236.79 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 68.16 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 71.60 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | 87.32 Mn |
| 10 | Veracyte | 3.20 Bn | 2.90 Bn | 108.55 Mn | 85.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.57 Mn |
| Mar 31, 2026 | 78.51 Mn |
| Dec 31, 2025 | 64.78 Mn |
| Sep 30, 2025 | 68.34 Mn |
| Jun 30, 2025 | 95.04 Mn |
| Mar 31, 2025 | 76.60 Mn |
| Dec 31, 2024 | 74.58 Mn |
| Sep 30, 2024 | 66.99 Mn |
| Jun 30, 2024 | 73.31 Mn |
| Mar 31, 2024 | 67.12 Mn |
| Dec 31, 2023 | 100.30 Mn |
| Sep 30, 2023 | 89.43 Mn |
| Jun 30, 2023 | 63.87 Mn |
| Mar 31, 2023 | 92.92 Mn |
| Dec 31, 2022 | -35.14 Mn |
| Sep 30, 2022 | 85.27 Mn |
| Jun 30, 2022 | 83.60 Mn |
| Mar 31, 2022 | 83.03 Mn |
| Dec 31, 2021 | 79.67 Mn |
| Sep 30, 2021 | 77.05 Mn |
Veracyte Operating Expenses 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=operating-expenses&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();