Cardio Diagnostics Holdings (CDIO) Amortizatization of Intangibles (2022 - 2026)
Cardio Diagnostics Holdings' Amortizatization of Intangibles was $51,158 in Q2 2026, down 0.4% from $51,358 a year earlier but up 1.5% from the prior quarter.
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Cardio Diagnostics Holdings (CDIO) Amortizatization of Intangibles (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cardio Diagnostics Holdings' Amortizatization of Intangibles was $200,613 through Jun 30, 2026, down 13.4% year-over-year; for FY2025, it came in at $238,065, up 46.4% from FY2024.
- Amortizatization of Intangibles has now increased for three consecutive years, with a four-year compound annual growth rate of 96.4% (FY2021 to FY2025).
- In earlier years, Amortizatization of Intangibles was $162,568 in FY2024 (+50.8%), $107,830 in FY2023 (+573.9%), $16,000 in FY2022 (unchanged) and $16,000 in FY2021.
- Quarterly Amortizatization of Intangibles has moved between $4,000 (Q1 2022) and $87,664 (Q1 2025) over five years.
- Compared with a year earlier, Amortizatization of Intangibles was higher in five of the last eight quarters, with growth averaging 29.5%.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q3 2023 (growth of 871.2%); the worst was Q1 2026 (a decline of 42.5%).
- Per Business Quant data, CDIO's Amortizatization of Intangibles in the three quarters before Q2 2026 was $50,412 (Q1 2026), $49,857 (Q4 2025) and $49,186 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Cardio Diagnostics Holdings | 5.80 Mn | -18.33 Mn | - | 51,158.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51,158.00 |
| Mar 31, 2026 | 50,412.00 |
| Dec 31, 2025 | 49,857.00 |
| Sep 30, 2025 | 49,186.00 |
| Jun 30, 2025 | 51,358.00 |
| Mar 31, 2025 | 87,664.00 |
| Dec 31, 2024 | 46,936.00 |
| Sep 30, 2024 | 45,755.00 |
| Jun 30, 2024 | 45,127.00 |
| Mar 31, 2024 | 24,750.00 |
| Dec 31, 2023 | 59,404.00 |
| Sep 30, 2023 | 38,848.00 |
| Jun 30, 2023 | 4,793.00 |
| Mar 31, 2023 | 4,785.00 |
| Dec 31, 2022 | 4,000.00 |
| Sep 30, 2022 | 4,000.00 |
| Jun 30, 2022 | 4,000.00 |
| Mar 31, 2022 | 4,000.00 |
API Access
Cardio Diagnostics Holdings Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=CDIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();