Castle Biosciences (CSTL) Price to Earnings (2019 - 2026)
Castle Biosciences' (CSTL) quarterly Price to Earnings came in at 353.22 in Q2 2026, down 371.99% year-over-year from 129.87 in Q2 2025, and down 589.66% quarter-over-quarter from 51.22 in Q1 2026.
Castle Biosciences (CSTL) Price to Earnings (2019 - 2026) Analysis & Trends
Castle Biosciences has disclosed Price to Earnings across 8 years of filings, most recently posting 353.22 for Q2 2026.
- In Q2 2026, Price to Earnings fell 371.99% year-over-year to 353.22; the TTM figure through Jun 2026 stood at 37.48 (up 40.27% YoY), while the FY2025 annual figure was 47.8, down 214.9% from the prior year.
- Price to Earnings came in at 353.22 for Q2 2026 at Castle Biosciences, down from 51.22 in the prior quarter.
- In the past five years, Price to Earnings ranged from a high of 351.64 in Q3 2024 to a low of 1325.38 in Q3 2025.
- Average Price to Earnings over 5 years is 147.58, with a median of 40.18 recorded in 2022.
- The largest YoY upside for Price to Earnings was 634.61% in 2024 against a maximum downside of 1061.44% in 2024.
- Over 5 years, Price to Earnings stood at 30.32 in 2022, then plunged by 656.25% to 229.27 in 2023, then surged by 134.52% to 79.15 in 2024, then tumbled by 725.62% to 495.2 in 2025, then increased by 28.67% to 353.22 in 2026.
- Per Business Quant data, the three most recent Price to Earnings figures were 353.22 in Q2 2026, 51.22 in Q1 2026, and 495.2 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 | -353.22 |
| Mar 31, 2026 | -51.22 |
| Dec 31, 2025 | -495.20 |
| Sep 30, 2025 | -1,325.38 |
| Jun 30, 2025 | 129.87 |
| Mar 31, 2025 | -22.34 |
| Dec 31, 2024 | 79.15 |
| Sep 30, 2024 | 351.64 |
| Jun 30, 2024 | 67.63 |
| Mar 31, 2024 | -241.13 |
| Dec 31, 2023 | -229.27 |
| Sep 30, 2023 | -65.78 |
| Jun 30, 2023 | -19.57 |
| Mar 31, 2023 | -20.76 |
| Dec 31, 2022 | -30.32 |
| Sep 30, 2022 | -33.94 |
| Jun 30, 2022 | -350.19 |
| Mar 31, 2022 | -46.43 |
| Dec 31, 2021 | -169.20 |
| Sep 30, 2021 | -142.61 |
Castle Biosciences Price to Earnings 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=price-to-earnings&ticker=CSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();