Veracyte (VCYT) Raw Materials (2021 - 2026)
Veracyte's (VCYT) quarterly Raw Materials came in at $22.7 million in Q2 2026, up 12.91% year-over-year from $20.1 million in Q2 2025, and up 5.79% quarter-over-quarter from $21.4 million in Q1 2026.
Veracyte (VCYT) Raw Materials (2021 - 2026) Analysis & Trends
Veracyte has disclosed Raw Materials across 6 years of filings, most recently posting $22.7 million for Q2 2026.
- In Q2 2026, Raw Materials rose 12.91% year-over-year to $22.7 million; the TTM figure through Jun 2026 stood at $22.7 million (up 12.91% YoY), while the FY2025 annual figure was $20.5 million, up 14.94% from the prior year.
- Raw Materials came in at $22.7 million for Q2 2026 at Veracyte, up from $21.4 million in the prior quarter.
- In the past five years, Raw Materials ranged from a high of $22.7 million in Q2 2026 to a low of $3.3 million in Q1 2022.
- Average Raw Materials over 5 years is $11.4 million, with a median of $8.4 million recorded in 2024.
- Year-over-year, Raw Materials retreated 6.82% in 2023 and surged 346.9% in 2024.
- Over 5 years, Raw Materials stood at $4.1 million in 2022, then decreased by 2.44% to $4.0 million in 2023, then surged by 346.9% to $17.9 million in 2024, then increased by 14.94% to $20.5 million in 2025, then advanced by 10.27% to $22.7 million in 2026.
- Per Business Quant data, the three most recent Raw Materials figures were $22.7 million in Q2 2026, $21.4 million in Q1 2026, and $20.5 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 | 22.66 Mn |
| Mar 31, 2026 | 21.42 Mn |
| Dec 31, 2025 | 20.55 Mn |
| Sep 30, 2025 | 20.33 Mn |
| Jun 30, 2025 | 20.07 Mn |
| Mar 31, 2025 | 18.36 Mn |
| Dec 31, 2024 | 17.88 Mn |
| Sep 30, 2024 | 16.18 Mn |
| Jun 30, 2024 | 12.24 Mn |
| Mar 31, 2024 | 4.60 Mn |
| Dec 31, 2023 | 4.00 Mn |
| Sep 30, 2023 | 3.80 Mn |
| Jun 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 3.30 Mn |
| Dec 31, 2022 | 4.10 Mn |
| Sep 30, 2022 | 3.30 Mn |
| Jun 30, 2022 | 4.40 Mn |
| Mar 31, 2022 | 3.30 Mn |
| Dec 31, 2021 | 3.00 Mn |
Veracyte Raw Materials 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=raw-materials&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();