Castle Biosciences (CSTL) Receivables - Net (2018 - 2026)
Castle Biosciences' (CSTL) quarterly Receivables - Net came in at $48.3 million in Q2 2026, down 7.59% year-over-year from $52.3 million in Q2 2025, and up 14.38% quarter-over-quarter from $42.3 million in Q1 2026.
Castle Biosciences (CSTL) Receivables - Net (2018 - 2026) Analysis & Trends
Castle Biosciences has disclosed Receivables - Net across 9 years of filings, most recently posting $48.3 million for Q2 2026.
- In Q2 2026, Receivables - Net fell 7.59% year-over-year to $48.3 million; the TTM figure through Jun 2026 stood at $48.3 million (down 7.59% YoY), while the FY2025 annual figure was $43.4 million, down 15.3% from the prior year.
- Receivables - Net came in at $48.3 million for Q2 2026 at Castle Biosciences, up from $42.3 million in the prior quarter.
- In the past five years, Receivables - Net ranged from a high of $56.4 million in Q1 2025 to a low of $19.9 million in Q1 2022.
- Average Receivables - Net over 5 years is $39.2 million, with a median of $42.5 million recorded in 2024.
- Year-over-year, Receivables - Net surged 63.15% in 2023 and decreased 25.0% in 2026.
- Over 5 years, Receivables - Net stood at $23.5 million in 2022, then jumped by 63.15% to $38.3 million in 2023, then jumped by 33.72% to $51.2 million in 2024, then slipped by 15.3% to $43.4 million in 2025, then advanced by 11.43% to $48.3 million in 2026.
- Per Business Quant data, the three most recent Receivables - Net figures were $48.3 million in Q2 2026, $42.3 million in Q1 2026, and $43.4 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 | 48.34 Mn |
| Mar 31, 2026 | 42.26 Mn |
| Dec 31, 2025 | 43.38 Mn |
| Sep 30, 2025 | 49.48 Mn |
| Jun 30, 2025 | 52.31 Mn |
| Mar 31, 2025 | 56.35 Mn |
| Dec 31, 2024 | 51.22 Mn |
| Sep 30, 2024 | 50.26 Mn |
| Jun 30, 2024 | 45.99 Mn |
| Mar 31, 2024 | 42.70 Mn |
| Dec 31, 2023 | 38.30 Mn |
| Sep 30, 2023 | 37.00 Mn |
| Jun 30, 2023 | 31.31 Mn |
| Mar 31, 2023 | 27.73 Mn |
| Dec 31, 2022 | 23.48 Mn |
| Sep 30, 2022 | 22.84 Mn |
| Jun 30, 2022 | 22.61 Mn |
| Mar 31, 2022 | 19.91 Mn |
| Dec 31, 2021 | 17.28 Mn |
| Sep 30, 2021 | 18.53 Mn |
Castle Biosciences Receivables - Net 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=receivables-net&ticker=CSTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();