Cardio Diagnostics Holdings (CDIO) Net Margin (2022 - 2026)
Cardio Diagnostics Holdings (CDIO) reported Net Margin of -28012.46% for Q2 2026, down 5494.75 percentage points from -22517.71% a year earlier but up 38709.85 percentage points from the prior quarter.
Cardio Diagnostics Holdings (CDIO) Net Margin (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cardio Diagnostics Holdings' Net Margin came in at -44771.83%, down 12731.35 percentage points year-over-year; for FY2025, it came in at -43832.49%, down 19804.25 percentage points from FY2024.
- Net Margin has a four-year change of +25029.66 percentage points (FY2021 to FY2025).
- By year, Net Margin came in at -24028.24% in FY2024 (+25059.57 pp), -49087.81% in FY2023 (+441542.19 pp), -490630.00% in FY2022 (-421767.85 pp) and -68862.15% in FY2021.
- Five-year quarterly Net Margin spans a low of -250321.79% in Q4 2022 and a high of -16365.88% in Q2 2024.
- Year over year, Net Margin gained in 1 of the last eight quarters, with an average year-over-year change of -13509.96 percentage points.
- The high point for year-over-year Net Margin in five years was Q4 2023 (a gain of 224164.93 percentage points); the low point was Q1 2025 (a drop of 147802.95 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -66722.31% (Q1 2026), -41219.92% (Q4 2025) and -60053.80% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.89% |
| 10 | Cardio Diagnostics Holdings | 5.56 Mn | -18.57 Mn | - | -28,012.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28,012.46% |
| Mar 31, 2026 | -66,722.31% |
| Dec 31, 2025 | -41,219.92% |
| Sep 30, 2025 | -60,053.80% |
| Jun 30, 2025 | -22,517.71% |
| Mar 31, 2025 | -173,942.98% |
| Dec 31, 2024 | -33,672.61% |
| Sep 30, 2024 | -21,467.57% |
| Jun 30, 2024 | -16,365.88% |
| Mar 31, 2024 | -26,140.03% |
| Dec 31, 2023 | -26,156.85% |
| Sep 30, 2023 | -19,266.02% |
| Jun 30, 2023 | -233,211.88% |
| Dec 31, 2022 | -250,321.79% |
Cardio Diagnostics Holdings Net Margin 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=net-margin&ticker=CDIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();