Castle Biosciences (CSTL) EBIT (2018 - 2026)
Castle Biosciences' (CSTL) quarterly EBIT came in at -$3.1 million in Q2 2026, up 27.78% year-over-year from -$2.4 million in Q2 2025, and up 83.32% quarter-over-quarter from -$18.4 million in Q1 2026.
Castle Biosciences (CSTL) EBIT (2018 - 2026) Analysis & Trends
Castle Biosciences has disclosed EBIT across 9 years of filings, most recently posting -$3.1 million for Q2 2026.
- In Q2 2026, EBIT rose 27.78% year-over-year to -$3.1 million; the TTM figure through Jun 2026 stood at -$32.1 million (down 39.3% YoY), while the FY2025 annual figure was -$42.8 million, down 593.77% from the prior year.
- EBIT came in at -$3.1 million for Q2 2026 at Castle Biosciences, up from -$18.4 million in the prior quarter.
- In the past five years, EBIT ranged from a high of $5.1 million in Q3 2024 to a low of -$31.5 million in Q1 2023.
- Average EBIT over 5 years is -$10.9 million, with a median of -$6.2 million recorded in 2023.
- Year-over-year, EBIT sank 472.27% in 2022 and jumped 171.58% in 2024.
- Over 5 years, EBIT stood at -$22.8 million in 2022, then surged by 75.22% to -$5.7 million in 2023, then surged by 171.58% to $4.0 million in 2024, then slumped by 194.49% to -$3.8 million in 2025, then climbed by 19.78% to -$3.1 million in 2026.
- Per Business Quant data, the three most recent EBIT figures were -$3.1 million in Q2 2026, -$18.4 million in Q1 2026, and -$3.8 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Natera | 53.05 Bn | 51.95 Bn | 486.15 Mn | -75.79 Mn |
| 2 | Quest Diagnostics | 27.19 Bn | 26.87 Bn | 1.03 Bn | 459.00 Mn |
| 3 | Labcorp Holdings | 25.93 Bn | 25.81 Bn | 1.11 Bn | 451.60 Mn |
| 4 | Guardant Health | 23.97 Bn | 22.91 Bn | 219.03 Mn | -129.12 Mn |
| 5 | Tempus AI | 13.64 Bn | 12.82 Bn | 274.25 Mn | -75.91 Mn |
| 6 | Caris Life Sciences | 8.47 Bn | 7.68 Bn | 182.38 Mn | 26.93 Mn |
| 7 | Sotera Health | 5.35 Bn | 4.99 Bn | 177.96 Mn | 109.81 Mn |
| 8 | BillionToOne | 4.96 Bn | 4.41 Bn | 77.11 Mn | 5.50 Mn |
| 9 | Adaptive Biotechnologies | 4.55 Bn | 4.21 Bn | 51.39 Mn | -15.77 Mn |
| 10 | Castle Biosciences | 1.08 Bn | 811.36 Mn | 79.85 Mn | -3.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.07 Mn |
| Mar 31, 2026 | -18.41 Mn |
| Dec 31, 2025 | -3.83 Mn |
| Sep 30, 2025 | -6.80 Mn |
| Jun 30, 2025 | -4.25 Mn |
| Mar 31, 2025 | -27.93 Mn |
| Dec 31, 2024 | 4.05 Mn |
| Sep 30, 2024 | 5.08 Mn |
| Jun 30, 2024 | 5.01 Mn |
| Mar 31, 2024 | -5.47 Mn |
| Dec 31, 2023 | -5.66 Mn |
| Sep 30, 2023 | -9.64 Mn |
| Jun 30, 2023 | -21.16 Mn |
| Mar 31, 2023 | -31.52 Mn |
| Dec 31, 2022 | -22.83 Mn |
| Sep 30, 2022 | -21.54 Mn |
| Jun 30, 2022 | -3.97 Mn |
| Mar 31, 2022 | -24.52 Mn |
| Dec 31, 2021 | -15.17 Mn |
| Sep 30, 2021 | -11.81 Mn |
Castle Biosciences EBIT 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=ebit&ticker=CSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();