Veracyte (VCYT) Receivables - Net (2012 - 2026)
Veracyte's (VCYT) quarterly Receivables - Net came in at $54.2 million in Q2 2026, up 6.62% year-over-year from $50.8 million in Q2 2025, and up 8.11% quarter-over-quarter from $50.1 million in Q1 2026.
Veracyte (VCYT) Receivables - Net (2012 - 2026) Analysis & Trends
Veracyte has disclosed Receivables - Net across 15 years of filings, most recently posting $54.2 million for Q2 2026.
- In Q2 2026, Receivables - Net rose 6.62% year-over-year to $54.2 million; the TTM figure through Jun 2026 stood at $54.2 million (up 6.62% YoY), while the FY2025 annual figure was $44.7 million, down 4.01% from the prior year.
- Receivables - Net came in at $54.2 million for Q2 2026 at Veracyte, up from $50.1 million in the prior quarter.
- In the past five years, Receivables - Net ranged from a high of $54.2 million in Q2 2026 to a low of $39.3 million in Q3 2023.
- Average Receivables - Net over 5 years is $46.0 million, with a median of $46.0 million recorded in 2023.
- Year-over-year, Receivables - Net surged 52.39% in 2022 and declined 8.28% in 2023.
- Over 5 years, Receivables - Net stood at $44.0 million in 2022, then dropped by 8.28% to $40.4 million in 2023, then rose by 15.22% to $46.5 million in 2024, then fell by 4.01% to $44.7 million in 2025, then gained by 21.31% to $54.2 million in 2026.
- Per Business Quant data, the three most recent Receivables - Net figures were $54.2 million in Q2 2026, $50.1 million in Q1 2026, and $44.7 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 | 54.18 Mn |
| Mar 31, 2026 | 50.11 Mn |
| Dec 31, 2025 | 44.66 Mn |
| Sep 30, 2025 | 47.83 Mn |
| Jun 30, 2025 | 50.81 Mn |
| Mar 31, 2025 | 53.78 Mn |
| Dec 31, 2024 | 46.53 Mn |
| Sep 30, 2024 | 48.81 Mn |
| Jun 30, 2024 | 50.30 Mn |
| Mar 31, 2024 | 46.67 Mn |
| Dec 31, 2023 | 40.38 Mn |
| Sep 30, 2023 | 39.30 Mn |
| Jun 30, 2023 | 42.37 Mn |
| Mar 31, 2023 | 45.49 Mn |
| Dec 31, 2022 | 44.02 Mn |
| Sep 30, 2022 | 40.07 Mn |
| Jun 30, 2022 | 40.45 Mn |
| Mar 31, 2022 | 42.48 Mn |
| Dec 31, 2021 | 41.46 Mn |
| Sep 30, 2021 | 40.31 Mn |
Veracyte Receivables - Net 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=receivables-net&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();