Cardio Diagnostics Holdings (CDIO) Total Liabilities (2021 - 2026)
Cardio Diagnostics Holdings (CDIO) reported Total Liabilities of $499,780 for Q2 2026, down 25.6% from $671,848 a year earlier and down 23.8% from the prior quarter.
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Analysis
Cardio Diagnostics Holdings (CDIO) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Cardio Diagnostics Holdings posted Total Liabilities of $793,061, down 25.0% from FY2024.
- Total Liabilities has declined for three consecutive years, though with a four-year compound annual growth rate of 120.0% (FY2021 to FY2025).
- By year, Total Liabilities came in at $1.06 million in FY2024 (-29.7%), $1.5 million in FY2023 (-22.8%), $1.95 million in FY2022 and $33,885 in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last 14 quarters, with an average decline of 32.9% over the last eight quarters.
- The year-over-year decline in Total Liabilities has ranged between 19.9% (Q3 2025) and 93.5% (Q3 2023) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $655,972 (Q1 2026), $793,061 (Q4 2025) and $637,331 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Cardio Diagnostics Holdings | 5.56 Mn | -18.57 Mn | - | 499,780.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 499,780.00 |
| Mar 31, 2026 | 655,972.00 |
| Dec 31, 2025 | 793,061.00 |
| Sep 30, 2025 | 637,331.00 |
| Jun 30, 2025 | 671,848.00 |
| Mar 31, 2025 | 904,998.00 |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | 795,276.00 |
| Jun 30, 2024 | 922,529.00 |
| Mar 31, 2024 | 1.29 Mn |
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 3.68 Mn |
| Jun 30, 2023 | 3.85 Mn |
| Mar 31, 2023 | 5.13 Mn |
| Dec 31, 2022 | 1.95 Mn |
| Sep 30, 2022 | 56.23 Mn |
| Jun 30, 2022 | 55.49 Mn |
| Mar 31, 2022 | 64.86 Mn |
| Dec 31, 2021 | 33,885.00 |
API Access
Cardio Diagnostics Holdings Total Liabilities 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=total-liabilities&ticker=CDIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();