Cardio Diagnostics Holdings (CDIO) Return on Sales [ROS] (2022 - 2026)
Cardio Diagnostics Holdings (CDIO) recorded Return on Sales [ROS] of -27950.50% in Q2 2026, down 5492.99 percentage points from -22457.51% a year earlier but up 38647.89 percentage points from the prior quarter.
Cardio Diagnostics Holdings (CDIO) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, Cardio Diagnostics Holdings' Return on Sales [ROS] came in at -44690.68% as of Jun 30, 2026, down 12729.70 percentage points year-over-year; for FY2025, it came in at -43737.46%, down 19759.59 percentage points from FY2024.
- Annual Return on Sales [ROS] has a four-year change of +25124.70 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -23977.86% in FY2024 (+18462.56 pp), -42440.43% in FY2023 (+436343.89 pp), -478784.32% in FY2022 (-409922.16 pp) and -68862.15% in FY2021.
- Quarterly Return on Sales [ROS] has ranged from -633581.58% in Q1 2023 to -14398.71% in Q3 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -13727.53 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 607476.31 percentage points in Q1 2024, against a drop of 147358.56 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -66598.40% (Q1 2026), -41159.55% (Q4 2025) and -59950.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 13.31% |
| 10 | Cardio Diagnostics Holdings | 5.68 Mn | -18.45 Mn | - | -27,950.50% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27,950.50% |
| Mar 31, 2026 | -66,598.40% |
| Dec 31, 2025 | -41,159.55% |
| Sep 30, 2025 | -59,950.86% |
| Jun 30, 2025 | -22,457.51% |
| Mar 31, 2025 | -173,463.83% |
| Dec 31, 2024 | -33,608.20% |
| Sep 30, 2024 | -21,412.87% |
| Jun 30, 2024 | -16,295.55% |
| Mar 31, 2024 | -26,105.27% |
| Dec 31, 2023 | -29,039.51% |
| Sep 30, 2023 | -14,398.71% |
| Jun 30, 2023 | -148,008.17% |
| Mar 31, 2023 | -633,581.58% |
| Dec 31, 2022 | -250,321.79% |
Cardio Diagnostics Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CDIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();