Cardio Diagnostics Holdings (CDIO) Cash & Equivalents (2021 - 2026)
Cardio Diagnostics Holdings' Cash & Equivalents was $5.59 million in Q2 2026, down 29.9% from $7.97 million a year earlier and down 21.1% from the prior quarter.
Cardio Diagnostics Holdings (CDIO) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Cardio Diagnostics Holdings came in at $5.11 million, down 34.7% from FY2024.
- Cash & Equivalents shows a four-year compound annual growth rate of 77.7% (FY2021 to FY2025).
- In earlier years, Cash & Equivalents was $7.83 million in FY2024 (+509.8%), $1.28 million in FY2023 (-68.8%), $4.12 million in FY2022 (+703.0%) and $512,767 in FY2021.
- Quarterly Cash & Equivalents has moved between $9,681 (Q3 2021) and $9.69 million (Q1 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 202.7% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2022 (growth of 703.0%); the worst was Q1 2024 (a decline of 76.7%).
- Per Business Quant data, CDIO's Cash & Equivalents in the three quarters before Q2 2026 was $7.08 million (Q1 2026), $5.11 million (Q4 2025) and $6.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Cardio Diagnostics Holdings | 5.62 Mn | -18.51 Mn | - | 5.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.59 Mn |
| Mar 31, 2026 | 7.08 Mn |
| Dec 31, 2025 | 5.11 Mn |
| Sep 30, 2025 | 6.36 Mn |
| Jun 30, 2025 | 7.97 Mn |
| Mar 31, 2025 | 9.69 Mn |
| Dec 31, 2024 | 7.83 Mn |
| Sep 30, 2024 | 1.98 Mn |
| Jun 30, 2024 | 1.31 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 1.28 Mn |
| Sep 30, 2023 | 3.63 Mn |
| Jun 30, 2023 | 5.04 Mn |
| Mar 31, 2023 | 6.71 Mn |
| Dec 31, 2022 | 4.12 Mn |
| Sep 30, 2022 | 8.96 Mn |
| Jun 30, 2022 | 9.66 Mn |
| Mar 31, 2022 | 310,241.00 |
| Dec 31, 2021 | 512,767.00 |
| Sep 30, 2021 | 9,681.00 |
Cardio Diagnostics Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=CDIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "CDIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();