Veracyte (VCYT) Accumulated Expenses (2012 - 2026)
Veracyte (VCYT) posted Accumulated Expenses of $47.68 million for Q2 2026, up 9.1% from $43.71 million a year earlier and up 10.5% from the prior quarter.
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Analysis
Veracyte (VCYT) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Veracyte's Accumulated Expenses came in at $48.8 million, up 11.4% from FY2024.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 33.0% (FY2020 to FY2025).
- In prior years, Veracyte's Accumulated Expenses was $43.83 million in FY2024 (+14.1%), $38.43 million in FY2023 (+1.7%), $37.77 million in FY2022 (-4.3%) and $39.48 million in FY2021 (+237.2%).
- Quarterly Accumulated Expenses has run from a low of $29.04 million in Q3 2021 to a high of $48.8 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 13.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 237.2%; the weakest was Q1 2023, with a decline of 20.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $43.13 million (Q1 2026), $48.8 million (Q4 2025) and $48.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 102.51 Bn | 98.52 Bn | - |
| 2 | Natera | 56.75 Bn | 52.44 Bn | 485.19 Mn |
| 3 | Labcorp Holdings | 26.54 Bn | 24.29 Bn | 1.11 Bn |
| 4 | Quest Diagnostics | 26.49 Bn | 24.62 Bn | 1.03 Bn |
| 5 | Tenet Healthcare | 22.46 Bn | 11.46 Bn | - |
| 6 | Guardant Health | 21.30 Bn | 17.36 Bn | 219.03 Mn |
| 7 | Fresenius Medical Care AG | 12.87 Bn | 4.82 Bn | 1.52 Bn |
| 8 | BrightSpring Health Services | 12.47 Bn | 10.80 Bn | 492.75 Mn |
| 9 | Encompass Health | 12.33 Bn | 11.99 Bn | - |
| 10 | Veracyte | 3.66 Bn | 2.42 Bn | 108.55 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();