Veracyte (VCYT) Accumulated Expenses (2012 - 2026)
Veracyte's (VCYT) quarterly Accumulated Expenses came in at $47.7 million in Q2 2026, up 9.08% year-over-year from $43.7 million in Q2 2025, and up 10.55% quarter-over-quarter from $43.1 million in Q1 2026.
Veracyte (VCYT) Accumulated Expenses (2012 - 2026) Analysis & Trends
Veracyte has disclosed Accumulated Expenses across 15 years of filings, most recently posting $47.7 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 9.08% year-over-year to $47.7 million; the TTM figure through Jun 2026 stood at $47.7 million (up 9.08% YoY), while the FY2025 annual figure was $48.8 million, up 11.35% from the prior year.
- Accumulated Expenses came in at $47.7 million for Q2 2026 at Veracyte, up from $43.1 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $48.8 million in Q4 2025 to a low of $30.3 million in Q1 2024.
- Average Accumulated Expenses over 5 years is $39.4 million, with a median of $38.5 million recorded in 2022.
- Year-over-year, Accumulated Expenses surged 137.13% in 2022 and declined 20.5% in 2023.
- Over 5 years, Accumulated Expenses stood at $37.8 million in 2022, then rose by 1.73% to $38.4 million in 2023, then grew by 14.05% to $43.8 million in 2024, then grew by 11.35% to $48.8 million in 2025, then decreased by 2.3% to $47.7 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $47.7 million in Q2 2026, $43.1 million in Q1 2026, and $48.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn |
| 10 | Veracyte | 3.20 Bn | 2.90 Bn | 108.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.68 Mn |
| Mar 31, 2026 | 43.13 Mn |
| Dec 31, 2025 | 48.80 Mn |
| Sep 30, 2025 | 48.37 Mn |
| Jun 30, 2025 | 43.71 Mn |
| Mar 31, 2025 | 35.93 Mn |
| Dec 31, 2024 | 43.83 Mn |
| Sep 30, 2024 | 43.87 Mn |
| Jun 30, 2024 | 43.46 Mn |
| Mar 31, 2024 | 30.29 Mn |
| Dec 31, 2023 | 38.43 Mn |
| Sep 30, 2023 | 34.83 Mn |
| Jun 30, 2023 | 34.43 Mn |
| Mar 31, 2023 | 30.64 Mn |
| Dec 31, 2022 | 37.77 Mn |
| Sep 30, 2022 | 32.14 Mn |
| Jun 30, 2022 | 33.57 Mn |
| Mar 31, 2022 | 38.54 Mn |
| Dec 31, 2021 | 39.48 Mn |
| Sep 30, 2021 | 29.04 Mn |
Veracyte Accumulated 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=accumulated-expenses&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();