Castle Biosciences (CSTL) Accumulated Expenses (2018 - 2026)
Castle Biosciences' (CSTL) quarterly Accumulated Expenses came in at $26.9 million in Q2 2026, up 7.69% year-over-year from $25.0 million in Q2 2025, and up 40.72% quarter-over-quarter from $19.1 million in Q1 2026.
Castle Biosciences (CSTL) Accumulated Expenses (2018 - 2026) Analysis & Trends
Castle Biosciences has disclosed Accumulated Expenses across 9 years of filings, most recently posting $26.9 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 7.69% year-over-year to $26.9 million; the TTM figure through Jun 2026 stood at $26.9 million (up 7.69% YoY), while the FY2025 annual figure was $38.3 million, up 17.61% from the prior year.
- Accumulated Expenses came in at $26.9 million for Q2 2026 at Castle Biosciences, up from $19.1 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $38.3 million in Q4 2025 to a low of $8.6 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $22.4 million, with a median of $21.8 million recorded in 2023.
- Year-over-year, Accumulated Expenses jumped 73.0% in 2022 and climbed 7.02% in 2026.
- Over 5 years, Accumulated Expenses stood at $24.4 million in 2022, then gained by 18.83% to $28.9 million in 2023, then gained by 12.47% to $32.6 million in 2024, then gained by 17.61% to $38.3 million in 2025, then dropped by 29.76% to $26.9 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $26.9 million in Q2 2026, $19.1 million in Q1 2026, and $38.3 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 | 26.89 Mn |
| Mar 31, 2026 | 19.11 Mn |
| Dec 31, 2025 | 38.29 Mn |
| Sep 30, 2025 | 31.76 Mn |
| Jun 30, 2025 | 24.97 Mn |
| Mar 31, 2025 | 17.86 Mn |
| Dec 31, 2024 | 32.56 Mn |
| Sep 30, 2024 | 27.67 Mn |
| Jun 30, 2024 | 21.24 Mn |
| Mar 31, 2024 | 14.71 Mn |
| Dec 31, 2023 | 28.95 Mn |
| Sep 30, 2023 | 22.41 Mn |
| Jun 30, 2023 | 17.30 Mn |
| Mar 31, 2023 | 12.80 Mn |
| Dec 31, 2022 | 24.36 Mn |
| Sep 30, 2022 | 19.53 Mn |
| Jun 30, 2022 | 14.85 Mn |
| Mar 31, 2022 | 8.57 Mn |
| Dec 31, 2021 | 15.48 Mn |
| Sep 30, 2021 | 12.12 Mn |
Castle Biosciences 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=accumulated-expenses&ticker=CSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();