Cardio Diagnostics Holdings (CDIO) Selling, General & Administrative (2022 - 2026)
Cardio Diagnostics Holdings (CDIO) recorded Selling, General & Administrative of $1.14 million in Q2 2026, down 11.7% from $1.3 million a year earlier and down 21.3% from the prior quarter.
Cardio Diagnostics Holdings (CDIO) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a TTM basis, Cardio Diagnostics Holdings' Selling, General & Administrative came in at $4.31 million as of Jun 30, 2026, up 6.9% year-over-year; for FY2025, it was $5.03 million, down 27.4% from FY2024.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 80.8% (FY2021 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $6.92 million in FY2024 (-0.2%), $6.94 million in FY2023 (+57.6%), $4.4 million in FY2022 (+835.1%) and $470,563 in FY2021.
- Quarterly Selling, General & Administrative has ranged from -$6,556 in Q4 2025 to $4.12 million in Q1 2024 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in four of the last seven quarters, with an average decline of 20.0%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 661.9% in Q1 2023, against a decline of 97.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.46 million (Q1 2026), -$6,556 (Q4 2025) and $1.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Cardio Diagnostics Holdings | 5.62 Mn | -18.51 Mn | - | 1.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Mn |
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | -6,556.00 |
| Sep 30, 2025 | 1.71 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.28 Mn |
| Dec 31, 2024 | 41,241.00 |
| Sep 30, 2024 | 1.42 Mn |
| Jun 30, 2024 | 1.29 Mn |
| Mar 31, 2024 | 4.12 Mn |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 1.38 Mn |
| Jun 30, 2023 | 2.51 Mn |
| Mar 31, 2023 | 1.56 Mn |
| Dec 31, 2022 | 2.32 Mn |
| Sep 30, 2022 | 1.13 Mn |
| Jun 30, 2022 | 751,117.00 |
| Mar 31, 2022 | 205,027.00 |
Cardio Diagnostics Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=CDIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CDIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();