Veracyte (VCYT) Other Accumulated Expenses (2012 - 2025)
Veracyte's (VCYT) quarterly Other Accumulated Expenses came in at $7000.0 in Q1 2025, down 92.13% year-over-year from $89000.0 in Q1 2024, and down 63.16% quarter-over-quarter from $19000.0 in Q4 2024.
Veracyte (VCYT) Other Accumulated Expenses (2012 - 2025) Analysis & Trends
Veracyte has disclosed Other Accumulated Expenses across 12 years of filings, most recently posting $7000.0 for Q1 2025.
- In Q1 2025, Other Accumulated Expenses fell 92.13% year-over-year to $7000.0; the TTM figure through Mar 2025 stood at $7000.0 (down 92.13% YoY), while the FY2024 annual figure was $19000.0, down 81.19% from the prior year.
- Other Accumulated Expenses came in at $7000.0 for Q1 2025 at Veracyte, down from $19000.0 in the prior quarter.
- In the past five years, Other Accumulated Expenses ranged from a high of $241000.0 in Q3 2021 to a low of $7000.0 in Q1 2025.
- Average Other Accumulated Expenses over 5 years is $129800.0, with a median of $119000.0 recorded in 2023.
- Year-over-year, Other Accumulated Expenses slipped 19.48% in 2022 and tumbled 92.13% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $231000.0 in 2021, then slipped by 19.48% to $186000.0 in 2022, then sank by 45.7% to $101000.0 in 2023, then plunged by 81.19% to $19000.0 in 2024, then tumbled by 63.16% to $7000.0 in 2025.
- Per Business Quant data, the three most recent Other Accumulated Expenses figures were $7000.0 in Q1 2025, $19000.0 in Q4 2024, and $53000.0 in Q3 2024.
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 |
|---|---|
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | 19,000.00 |
| Sep 30, 2024 | 53,000.00 |
| Jun 30, 2024 | 72,000.00 |
| Mar 31, 2024 | 89,000.00 |
| Dec 31, 2023 | 101,000.00 |
| Sep 30, 2023 | 106,000.00 |
| Jun 30, 2023 | 119,000.00 |
| Mar 31, 2023 | 127,000.00 |
| Dec 31, 2022 | 186,000.00 |
| Sep 30, 2022 | 180,000.00 |
| Jun 30, 2022 | 198,000.00 |
| Mar 31, 2022 | 218,000.00 |
| Dec 31, 2021 | 231,000.00 |
| Sep 30, 2021 | 241,000.00 |
| Sep 30, 2020 | 2.06 Mn |
| Jun 30, 2020 | 2.68 Mn |
| Dec 31, 2019 | 3.63 Mn |
| Mar 31, 2016 | 2.26 Mn |
| Dec 31, 2015 | 2.39 Mn |
Veracyte Other 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=other-accumulated-expenses&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();