Veracyte (VCYT) Operating Expenses (2012 - 2026)
Veracyte (VCYT) recorded Operating Expenses of $85.57 million in Q2 2026, down 10.0% from $95.04 million a year earlier but up 9.0% from the prior quarter.
Veracyte (VCYT) Operating Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Veracyte's Operating Expenses came in at $297.2 million as of Jun 30, 2026, down 5.1% year-over-year; for FY2025, it was $304.76 million, up 8.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $282 million in FY2024 (-10.6%), $315.48 million in FY2023 (+45.5%), $216.76 million in FY2022 (-28.1%) and $301.42 million in FY2021 (+97.2%).
- Quarterly Operating Expenses has ranged from -$35.14 million in Q4 2022 to $100.3 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with an average decline of 3.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 119.0% in Q3 2021, against a decline of 27.8% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $78.51 million (Q1 2026), $64.78 million (Q4 2025) and $68.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.22 Bn | 97.23 Bn | - | 17.74 Bn |
| 2 | Natera | 59.29 Bn | 54.98 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.56 Bn | 24.69 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 26.41 Bn | 24.16 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Tenet Healthcare | 22.49 Bn | 11.49 Bn | - | - |
| 6 | Guardant Health | 22.12 Bn | 18.19 Bn | 219.03 Mn | 464.10 Mn |
| 7 | BrightSpring Health Services | 12.91 Bn | 11.24 Bn | 492.75 Mn | 362.36 Mn |
| 8 | Fresenius Medical Care AG | 12.56 Bn | 4.51 Bn | 1.52 Bn | 901.58 Mn |
| 9 | Tempus AI | 12.17 Bn | 9.20 Bn | 246.50 Mn | 458.40 Mn |
| 10 | Veracyte | 3.70 Bn | 2.46 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();