Castle Biosciences (CSTL) EV to EBITDA (2019 - 2026)
Castle Biosciences' (CSTL) quarterly EV to EBITDA came in at 150.1 in Q2 2026, down 102.01% year-over-year from 7456.31 in Q2 2025, and down 473.17% quarter-over-quarter from 26.19 in Q1 2026.
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Analysis
Castle Biosciences (CSTL) EV to EBITDA (2019 - 2026) Analysis & Trends
Castle Biosciences has disclosed EV to EBITDA across 8 years of filings, most recently posting 150.1 for Q2 2026.
- In Q2 2026, EV to EBITDA fell 102.01% year-over-year to 150.1; the TTM figure through Jun 2026 stood at 14.35 (down 4.73% YoY), while the FY2025 annual figure was 19.98, down 137.18% from the prior year.
- EV to EBITDA came in at 150.1 for Q2 2026 at Castle Biosciences, down from 26.19 in the prior quarter.
- In the past five years, EV to EBITDA ranged from a high of 115.05 in Q4 2024 to a low of 223.49 in Q4 2025.
- Average EV to EBITDA over 5 years is 31.79, with a median of 24.73 recorded in 2026.
- The largest YoY upside for EV to EBITDA was 1121.7% in 2024 against a maximum downside of 472.34% in 2024.
- Over 5 years, EV to EBITDA stood at 16.05 in 2022, then sank by 283.68% to 61.58 in 2023, then soared by 286.83% to 115.05 in 2024, then sank by 294.26% to 223.49 in 2025, then jumped by 32.84% to 150.1 in 2026.
- Per Business Quant data, the three most recent EV to EBITDA figures were 150.1 in Q2 2026, 26.19 in Q1 2026, and 223.49 in Q4 2025.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -150.10 |
| Mar 31, 2026 | -26.19 |
| Dec 31, 2025 | -223.49 |
| Sep 30, 2025 | -55.32 |
| Jun 30, 2025 | -74.30 |
| Mar 31, 2025 | -10.82 |
| Dec 31, 2024 | 115.05 |
| Sep 30, 2024 | 102.00 |
| Jun 30, 2024 | 68.55 |
| Mar 31, 2024 | -67.95 |
| Dec 31, 2023 | -61.58 |
| Sep 30, 2023 | -23.28 |
| Jun 30, 2023 | -6.71 |
| Mar 31, 2023 | -11.87 |
| Dec 31, 2022 | -16.05 |
| Sep 30, 2022 | -19.56 |
| Jun 30, 2022 | -76.54 |
| Mar 31, 2022 | -34.03 |
| Dec 31, 2021 | -49.99 |
| Sep 30, 2021 | -111.59 |
API Access
Castle Biosciences EV to EBITDA 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=ev-to-ebitda&ticker=CSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();