Cardio Diagnostics Holdings (CDIO) Non-Current Assets (2021 - 2026)
Cardio Diagnostics Holdings' Non-Current Assets was $1.77 million in Q2 2026, up 4.3% from $1.69 million a year earlier but down 2.7% from the prior quarter.
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Analysis
Cardio Diagnostics Holdings (CDIO) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Cardio Diagnostics Holdings came in at $1.85 million, up 1.2% from FY2024.
- Non-Current Assets has now increased for four consecutive years, with a four-year compound annual growth rate of 57.7% (FY2021 to FY2025).
- In earlier years, Non-Current Assets was $1.82 million in FY2024 (+7.5%), $1.7 million in FY2023 (+366.6%), $363,591 in FY2022 (+21.8%) and $298,487 in FY2021.
- Quarterly Non-Current Assets has moved between $298,487 (Q4 2021) and $65.57 million (Q3 2022) over five years.
- Compared with a year earlier, Non-Current Assets has increased for four straight quarters, with growth averaging 4.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2023 (growth of 366.6%); the worst was Q1 2023 (a decline of 99.4%).
- Per Business Quant data, CDIO's Non-Current Assets in the three quarters before Q2 2026 was $1.81 million (Q1 2026), $1.85 million (Q4 2025) and $1.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Cardio Diagnostics Holdings | 5.16 Mn | -18.97 Mn | - | 1.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Mn |
| Mar 31, 2026 | 1.81 Mn |
| Dec 31, 2025 | 1.85 Mn |
| Sep 30, 2025 | 1.86 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 1.75 Mn |
| Dec 31, 2024 | 1.82 Mn |
| Sep 30, 2024 | 1.85 Mn |
| Jun 30, 2024 | 1.86 Mn |
| Mar 31, 2024 | 1.74 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 1.44 Mn |
| Jun 30, 2023 | 502,186.00 |
| Mar 31, 2023 | 413,580.00 |
| Dec 31, 2022 | 363,591.00 |
| Sep 30, 2022 | 65.57 Mn |
| Jun 30, 2022 | 65.01 Mn |
| Mar 31, 2022 | 65.00 Mn |
| Dec 31, 2021 | 298,487.00 |
API Access
Cardio Diagnostics Holdings Non-Current Assets 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=non-current-assets&ticker=CDIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();