Cardio Diagnostics Holdings (CDIO) Operating Expenses (2021 - 2026)
Cardio Diagnostics Holdings' Operating Expenses came in at $1.5 million for Q2 2026, down 10.8% from $1.69 million a year earlier and down 15.9% from the prior quarter.
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Analysis
Cardio Diagnostics Holdings (CDIO) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cardio Diagnostics Holdings reported Operating Expenses of $6.47 million, up 3.5% year-over-year; for FY2025, it came in at $6.5 million, down 22.6% from FY2024.
- Operating Expenses carries a four-year compound annual growth rate of 79.8% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $8.4 million in FY2024 (+15.7%), $7.26 million in FY2023 (+59.6%), $4.55 million in FY2022 (+632.2%) and $621,349 in FY2021.
- The five-year range for quarterly Operating Expenses is $721.00 (Q3 2021) to $4.17 million (Q1 2024).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 2.3%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2023 (growth of 632.4%), and the weakest in Q1 2025 (a decline of 60.9%).
- Business Quant data shows CDIO's Operating Expenses at $1.79 million (Q1 2026), $1.47 million (Q4 2025) and $1.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Cardio Diagnostics Holdings | 5.56 Mn | -18.57 Mn | - | 1.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Mn |
| Mar 31, 2026 | 1.79 Mn |
| Dec 31, 2025 | 1.47 Mn |
| Sep 30, 2025 | 1.71 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 1.63 Mn |
| Dec 31, 2024 | 1.52 Mn |
| Sep 30, 2024 | 1.42 Mn |
| Jun 30, 2024 | 1.29 Mn |
| Mar 31, 2024 | 4.17 Mn |
| Dec 31, 2023 | 1.55 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 2.55 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 2.38 Mn |
| Sep 30, 2022 | 1.15 Mn |
| Jun 30, 2022 | 786,964.00 |
| Mar 31, 2022 | 232,555.00 |
| Sep 30, 2021 | 721.00 |
API Access
Cardio Diagnostics Holdings Operating Expenses 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=operating-expenses&ticker=CDIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();