Castle Biosciences (CSTL) Change in Accrued Expenses (2018 - 2026)
Castle Biosciences' Change in Accrued Expenses came in at $18.02 million for Q3 2026, up 90.0% from $9.48 million a year earlier and up 131.6% from the prior quarter.
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Analysis
Castle Biosciences (CSTL) Change in Accrued Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Castle Biosciences reported Change in Accrued Expenses of $10.46 million, up 54.1% year-over-year; for FY2025, it was $5.73 million, up 58.8% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $3.61 million in FY2024 (-21.3%), $4.59 million in FY2023 (-46.0%), $8.5 million in FY2022 (+36.8%) and $6.21 million in FY2021 (+86.5%).
- The Q3 2026 figure represents the highest quarterly Change in Accrued Expenses in data going back to Q3 2018.
- Year-over-year, Change in Accrued Expenses increased in four of the last six quarters, with growth averaging 18.1%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q2 2022 (growth of 137.8%), and the weakest in Q2 2023 (a decline of 43.9%).
- Business Quant data shows CSTL's Change in Accrued Expenses at $7.78 million (Q2 2026), -$19.18 million (Q1 2026) and $3.83 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 105.29 Bn | 103.13 Bn | 17.03 Bn | 769.00 Mn |
| 2 | Natera | 46.06 Bn | 41.68 Bn | 513.47 Mn | 7.92 Mn |
| 3 | Labcorp Holdings | 30.09 Bn | 28.19 Bn | 1.11 Bn | -53.00 Mn |
| 4 | Quest Diagnostics | 28.58 Bn | 26.66 Bn | 1.04 Bn | 114.00 Mn |
| 5 | Guardant Health | 20.44 Bn | 16.05 Bn | 236.15 Mn | 41.71 Mn |
| 6 | BrightSpring Health Services | 14.16 Bn | 11.04 Bn | 518.55 Mn | 19.24 Mn |
| 7 | Encompass Health | 13.83 Bn | 14.29 Bn | 1.54 Bn | - |
| 8 | Tempus AI | 12.69 Bn | 9.84 Bn | 266.70 Mn | 38.55 Mn |
| 9 | Davita | 11.06 Bn | 9.92 Bn | 1.13 Bn | 43.65 Mn |
| 10 | Castle Biosciences | 1.04 Bn | -65.97 Mn | 78.97 Mn | 18.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.02 Mn |
| Jun 30, 2026 | 7.78 Mn |
| Mar 31, 2026 | -19.18 Mn |
| Dec 31, 2025 | 3.83 Mn |
| Sep 30, 2025 | 9.48 Mn |
| Jun 30, 2025 | 7.12 Mn |
| Mar 31, 2025 | -14.70 Mn |
| Dec 31, 2024 | 4.88 Mn |
| Sep 30, 2024 | 6.43 Mn |
| Jun 30, 2024 | 6.53 Mn |
| Mar 31, 2024 | -14.24 Mn |
| Dec 31, 2023 | 6.54 Mn |
| Sep 30, 2023 | 5.11 Mn |
| Jun 30, 2023 | 4.50 Mn |
| Mar 31, 2023 | -11.56 Mn |
| Dec 31, 2022 | 4.83 Mn |
| Sep 30, 2022 | 2.56 Mn |
| Jun 30, 2022 | 8.03 Mn |
| Mar 31, 2022 | -6.92 Mn |
| Dec 31, 2021 | 3.20 Mn |
API Access
Castle Biosciences Change in Accrued 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=change-in-accured-expenses&ticker=CSTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CSTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();