CareDx (CDNA) Operating Expenses (2013 - 2026)
CareDx's Operating Expenses was $18.73 million in Q2 2026, down 80.9% from $97.8 million a year earlier and down 83.9% from the prior quarter.
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Analysis
CareDx (CDNA) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, CareDx's Operating Expenses was $349.95 million through Jun 30, 2026, up 18.8% year-over-year; for FY2025, it came in at $410.59 million, up 40.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $293.02 million in FY2024 (-39.4%), $483.69 million in FY2023 (+21.2%), $399.02 million in FY2022 (+22.4%) and $326.12 million in FY2021 (+51.9%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q4 2024.
- Compared with a year earlier, Operating Expenses was higher in four of the last seven quarters, with an average decline of 22.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 85.4%); the worst was Q4 2024 (a decline of 98.8%).
- Per Business Quant data, CDNA's Operating Expenses in the three quarters before Q2 2026 was $116.5 million (Q1 2026), $114.43 million (Q4 2025) and $100.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 17.74 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | - |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 464.10 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 901.58 Mn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 362.36 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 2.98 Bn |
| 10 | CareDx | 3.45 Bn | 2.52 Bn | 96.98 Mn | 18.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.73 Mn |
| Mar 31, 2026 | 116.50 Mn |
| Dec 31, 2025 | 114.43 Mn |
| Sep 30, 2025 | 100.30 Mn |
| Jun 30, 2025 | 97.80 Mn |
| Mar 31, 2025 | 98.06 Mn |
| Dec 31, 2024 | 2.20 Mn |
| Sep 30, 2024 | 96.60 Mn |
| Jun 30, 2024 | 99.60 Mn |
| Mar 31, 2024 | 94.62 Mn |
| Dec 31, 2023 | 188.20 Mn |
| Sep 30, 2023 | 95.98 Mn |
| Jun 30, 2023 | 97.93 Mn |
| Mar 31, 2023 | 101.59 Mn |
| Dec 31, 2022 | 101.50 Mn |
| Sep 30, 2022 | 96.70 Mn |
| Jun 30, 2022 | 102.35 Mn |
| Mar 31, 2022 | 98.47 Mn |
| Dec 31, 2021 | 94.62 Mn |
| Sep 30, 2021 | 84.32 Mn |
API Access
CareDx Operating 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=operating-expenses&ticker=CDNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CDNA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CDNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();