Cardio Diagnostics Holdings (CDIO) Total Current Liabilities (2021 - 2026)
Cardio Diagnostics Holdings (CDIO) recorded Total Current Liabilities of $359,197 in Q2 2026, down 2.8% from $369,597 a year earlier and down 26.9% from the prior quarter.
Cardio Diagnostics Holdings (CDIO) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Cardio Diagnostics Holdings reported Total Current Liabilities of $604,839, down 4.3% from FY2024.
- Annual Total Current Liabilities has declined for three straight years, though with a four-year compound annual growth rate of 48.5% (FY2021 to FY2025).
- Across earlier years, Total Current Liabilities came in at $631,695 in FY2024 (-24.9%), $841,142 in FY2023 (-56.8%), $1.95 million in FY2022 and $124,434 in FY2021.
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities since Q3 2024.
- On a year-over-year basis, Total Current Liabilities has declined for three consecutive quarters, with an average decline of 15.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 367.8% in Q3 2023, against a decline of 89.6% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $491,443 (Q1 2026), $604,839 (Q4 2025) and $398,448 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Cardio Diagnostics Holdings | 5.56 Mn | -18.57 Mn | - | 359,197.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 359,197.00 |
| Mar 31, 2026 | 491,443.00 |
| Dec 31, 2025 | 604,839.00 |
| Sep 30, 2025 | 398,448.00 |
| Jun 30, 2025 | 369,597.00 |
| Mar 31, 2025 | 540,616.00 |
| Dec 31, 2024 | 631,695.00 |
| Sep 30, 2024 | 308,679.00 |
| Jun 30, 2024 | 376,096.00 |
| Mar 31, 2024 | 685,672.00 |
| Dec 31, 2023 | 841,142.00 |
| Sep 30, 2023 | 2.96 Mn |
| Dec 31, 2022 | 1.95 Mn |
| Sep 30, 2022 | 631,748.00 |
| Jun 30, 2022 | 229,434.00 |
| Mar 31, 2022 | 180,542.00 |
| Dec 31, 2021 | 124,434.00 |
Cardio Diagnostics Holdings Total Current 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-current-liabilities&ticker=CDIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();