Castle Biosciences (CSTL) Prepaid Assets (2018 - 2026)
Castle Biosciences' (CSTL) quarterly Prepaid Assets came in at $15.4 million in Q2 2026, up 27.47% year-over-year from $12.1 million in Q2 2025, and up 6.09% quarter-over-quarter from $14.5 million in Q1 2026.
Castle Biosciences (CSTL) Prepaid Assets (2018 - 2026) Analysis & Trends
Castle Biosciences has disclosed Prepaid Assets across 9 years of filings, most recently posting $15.4 million for Q2 2026.
- In Q2 2026, Prepaid Assets rose 27.47% year-over-year to $15.4 million; the TTM figure through Jun 2026 stood at $15.4 million (up 27.47% YoY), while the FY2025 annual figure was $8.0 million, up 3.72% from the prior year.
- Prepaid Assets came in at $15.4 million for Q2 2026 at Castle Biosciences, up from $14.5 million in the prior quarter.
- In the past five years, Prepaid Assets ranged from a high of $15.4 million in Q2 2026 to a low of $5.2 million in Q1 2022.
- Average Prepaid Assets over 5 years is $8.4 million, with a median of $6.9 million recorded in 2023.
- Year-over-year, Prepaid Assets fell 8.47% in 2024 and surged 79.59% in 2025.
- Over 5 years, Prepaid Assets stood at $6.2 million in 2022, then climbed by 1.37% to $6.3 million in 2023, then grew by 21.92% to $7.7 million in 2024, then climbed by 3.72% to $8.0 million in 2025, then jumped by 93.24% to $15.4 million in 2026.
- Per Business Quant data, the three most recent Prepaid Assets figures were $15.4 million in Q2 2026, $14.5 million in Q1 2026, and $8.0 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 | Castle Biosciences | 1.08 Bn | 811.36 Mn | 79.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.37 Mn |
| Mar 31, 2026 | 14.49 Mn |
| Dec 31, 2025 | 7.96 Mn |
| Sep 30, 2025 | 11.90 Mn |
| Jun 30, 2025 | 12.06 Mn |
| Mar 31, 2025 | 11.04 Mn |
| Dec 31, 2024 | 7.67 Mn |
| Sep 30, 2024 | 8.15 Mn |
| Jun 30, 2024 | 6.72 Mn |
| Mar 31, 2024 | 6.22 Mn |
| Dec 31, 2023 | 6.29 Mn |
| Sep 30, 2023 | 7.10 Mn |
| Jun 30, 2023 | 6.11 Mn |
| Mar 31, 2023 | 6.80 Mn |
| Dec 31, 2022 | 6.21 Mn |
| Sep 30, 2022 | 6.80 Mn |
| Jun 30, 2022 | 5.78 Mn |
| Mar 31, 2022 | 5.16 Mn |
| Dec 31, 2021 | 4.81 Mn |
| Sep 30, 2021 | 5.50 Mn |
Castle Biosciences Prepaid Assets 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=prepaid-assets&ticker=CSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "CSTL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();