Castle Biosciences (CSTL) Operating Expenses (2018 - 2026)
Castle Biosciences' Operating Expenses came in at $106.62 million for Q2 2026, up 17.9% from $90.44 million a year earlier and up 4.4% from the prior quarter.
Castle Biosciences (CSTL) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Castle Biosciences reported Operating Expenses of $389.39 million, up 5.4% year-over-year; for FY2025, it came in at $387.04 million, up 19.7% from FY2024.
- Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 41.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $323.4 million in FY2024 (+12.4%), $287.77 million in FY2023 (+37.1%), $209.89 million in FY2022 (+56.4%) and $134.16 million in FY2021 (+93.9%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2025.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 14.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 97.8%), and the weakest in Q1 2026 (a decline of 11.9%).
- Business Quant data shows CSTL's Operating Expenses at $102.09 million (Q1 2026), $90.84 million (Q4 2025) and $89.85 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 101.22 Bn | 97.23 Bn | - | 17.74 Bn |
| 2 | Natera | 59.29 Bn | 54.98 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.56 Bn | 24.69 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 26.41 Bn | 24.16 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Tenet Healthcare | 22.49 Bn | 11.49 Bn | - | - |
| 6 | Guardant Health | 22.12 Bn | 18.19 Bn | 219.03 Mn | 464.10 Mn |
| 7 | BrightSpring Health Services | 12.91 Bn | 11.24 Bn | 492.75 Mn | 362.36 Mn |
| 8 | Fresenius Medical Care AG | 12.56 Bn | 4.51 Bn | 1.52 Bn | 901.58 Mn |
| 9 | Tempus AI | 12.17 Bn | 9.20 Bn | 246.50 Mn | 458.40 Mn |
| 10 | Castle Biosciences | 1.05 Bn | -67.48 Mn | 79.85 Mn | 106.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.62 Mn |
| Mar 31, 2026 | 102.09 Mn |
| Dec 31, 2025 | 90.84 Mn |
| Sep 30, 2025 | 89.85 Mn |
| Jun 30, 2025 | 90.44 Mn |
| Mar 31, 2025 | 115.92 Mn |
| Dec 31, 2024 | 82.26 Mn |
| Sep 30, 2024 | 80.70 Mn |
| Jun 30, 2024 | 81.99 Mn |
| Mar 31, 2024 | 78.45 Mn |
| Dec 31, 2023 | 71.78 Mn |
| Sep 30, 2023 | 71.13 Mn |
| Jun 30, 2023 | 71.30 Mn |
| Mar 31, 2023 | 73.56 Mn |
| Dec 31, 2022 | 61.17 Mn |
| Sep 30, 2022 | 58.55 Mn |
| Jun 30, 2022 | 38.81 Mn |
| Mar 31, 2022 | 51.37 Mn |
| Dec 31, 2021 | 40.21 Mn |
| Sep 30, 2021 | 35.29 Mn |
Castle Biosciences Operating 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=operating-expenses&ticker=CSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();