Co-Diagnostics (CODX) EBITDA Margin (2017 - 2026)
Co-Diagnostics' EBITDA Margin came in at -3610.97% for Q2 2026, up 1156.29 percentage points from -4767.26% a year earlier.
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Analysis
Co-Diagnostics (CODX) EBITDA Margin (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Co-Diagnostics reported EBITDA Margin of -6336.62%, down 2603.11 percentage points year-over-year; for FY2025, it came in at -7881.03%, down 6892.46 percentage points from FY2024.
- EBITDA Margin has declined in each of the last five years, with a five-year change of -7937.14 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -988.57% in FY2024 (-379.71 pp), -608.86% in FY2023 (-533.76 pp), -75.10% in FY2022 (-122.50 pp) and 47.40% in FY2021 (-8.71 pp).
- The Q2 2026 figure represents the highest quarterly EBITDA Margin since Q3 2024.
- Year-over-year, EBITDA Margin increased in 1 of the last seven quarters, with an average year-over-year change of -4512.11 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2024 (a gain of 5633.09 percentage points), and the weakest in Q1 2025 (a drop of 14329.68 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 31.93% |
| 10 | Co-Diagnostics | 2.30 Mn | -38.04 Mn | 120,828.00 | -3,610.97% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,610.97% |
| Dec 31, 2025 | -9,955.30% |
| Sep 30, 2025 | -4,640.57% |
| Jun 30, 2025 | -4,767.26% |
| Mar 31, 2025 | -16,451.88% |
| Dec 31, 2024 | -7,734.74% |
| Sep 30, 2024 | -1,541.58% |
| Jun 30, 2024 | -276.33% |
| Mar 31, 2024 | -2,122.20% |
| Dec 31, 2023 | -323.82% |
| Sep 30, 2023 | -351.62% |
| Jun 30, 2023 | -5,909.42% |
| Mar 31, 2023 | -1,600.55% |
| Dec 31, 2022 | -1,842.53% |
| Sep 30, 2022 | -122.15% |
| Jun 30, 2022 | -74.11% |
| Mar 31, 2022 | 44.37% |
| Dec 31, 2021 | 51.03% |
| Sep 30, 2021 | 45.59% |
| Jun 30, 2021 | 43.36% |
API Access
Co-Diagnostics EBITDA 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=ebitda-margin&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "CODX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda-margin&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();