CareDx (CDNA) EV to CFO (2019 - 2026)
CareDx's EV to CFO was 11.68 in Q2 2026, down 75.8% from 48.17 a year earlier but up 21.2% from the prior quarter.
CareDx (CDNA) EV to CFO (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, CareDx's EV to CFO was 5.71 through Jun 30, 2026, down 16.5% year-over-year; for FY2025, it was 18.61, down 22.4% from FY2024.
- In earlier years, EV to CFO was 23.97 in FY2024.
- Quarterly EV to CFO has moved between 9.64 (Q1 2026) and 634.69 (Q2 2023) over five years.
- Compared with a year earlier, EV to CFO has declined for four straight quarters, with an average decline of 64.2% over the last four quarters.
- Per Business Quant data, CDNA's EV to CFO in the three quarters before Q2 2026 was 9.64 (Q1 2026), 18.61 (Q4 2025) and 13.00 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn |
| 10 | CareDx | 3.45 Bn | 2.52 Bn | 96.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.68 |
| Mar 31, 2026 | 9.64 |
| Dec 31, 2025 | 18.61 |
| Sep 30, 2025 | 13.00 |
| Jun 30, 2025 | 48.17 |
| Mar 31, 2025 | 28.14 |
| Dec 31, 2024 | 23.97 |
| Sep 30, 2024 | 182.27 |
| Jun 30, 2023 | 634.69 |
| Mar 31, 2021 | 1,107.23 |
| Dec 31, 2020 | 100.43 |
| Sep 30, 2020 | 65.57 |
| Jun 30, 2020 | 73.90 |
| Mar 31, 2020 | 21,091.30 |
| Sep 30, 2019 | 2,942.99 |
| Jun 30, 2019 | 13,954.15 |
CareDx EV to CFO 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-cfo&ticker=CDNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=CDNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();