Veracyte (VCYT) Operating Leases (2019 - 2026)
Veracyte's (VCYT) quarterly Operating Leases came in at $40.1 million in Q2 2026, down 20.81% year-over-year from $50.6 million in Q2 2025, and up 1.97% quarter-over-quarter from $39.3 million in Q1 2026.
Veracyte (VCYT) Operating Leases (2019 - 2026) Analysis & Trends
Veracyte has disclosed Operating Leases across 8 years of filings, most recently posting $40.1 million for Q2 2026.
- In Q2 2026, Operating Leases fell 20.81% year-over-year to $40.1 million; the TTM figure through Jun 2026 stood at $40.1 million (down 20.81% YoY), while the FY2025 annual figure was $35.6 million, down 17.66% from the prior year.
- Operating Leases came in at $40.1 million for Q2 2026 at Veracyte, up from $39.3 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $50.6 million in Q2 2025 to a low of $7.5 million in Q4 2023.
- Average Operating Leases over 5 years is $25.8 million, with a median of $18.5 million recorded in 2022.
- Year-over-year, Operating Leases retreated 29.33% in 2023 and soared 474.58% in 2024.
- Over 5 years, Operating Leases stood at $10.6 million in 2022, then dropped by 29.33% to $7.5 million in 2023, then soared by 474.58% to $43.2 million in 2024, then fell by 17.66% to $35.6 million in 2025, then grew by 12.65% to $40.1 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $40.1 million in Q2 2026, $39.3 million in Q1 2026, and $35.6 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 | 40.11 Mn |
| Mar 31, 2026 | 39.33 Mn |
| Dec 31, 2025 | 35.60 Mn |
| Sep 30, 2025 | 40.45 Mn |
| Jun 30, 2025 | 50.65 Mn |
| Mar 31, 2025 | 50.50 Mn |
| Dec 31, 2024 | 43.24 Mn |
| Sep 30, 2024 | 19.69 Mn |
| Jun 30, 2024 | 20.74 Mn |
| Mar 31, 2024 | 14.04 Mn |
| Dec 31, 2023 | 7.53 Mn |
| Sep 30, 2023 | 13.73 Mn |
| Jun 30, 2023 | 14.86 Mn |
| Mar 31, 2023 | 13.79 Mn |
| Dec 31, 2022 | 10.65 Mn |
| Sep 30, 2022 | 15.49 Mn |
| Jun 30, 2022 | 16.46 Mn |
| Mar 31, 2022 | 17.33 Mn |
| Dec 31, 2021 | 14.10 Mn |
| Sep 30, 2021 | 17.70 Mn |
Veracyte Operating Leases 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=operating-leases&ticker=VCYT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=VCYT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();