Co-Diagnostics (CODX) EBITDA Margin (2017 - 2026)
Co-Diagnostics' EBITDA Margin came in at -2137.64% for Q3 2026, up 2502.93 percentage points from -4640.57% a year earlier and up 1473.33 percentage points from the prior quarter.
Co-Diagnostics (CODX) EBITDA Margin (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Co-Diagnostics reported EBITDA Margin of -5503.99%, up 1256.15 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 Q3 2026 figure represents the highest quarterly EBITDA Margin since Q3 2024.
- Year-over-year, EBITDA Margin has increased for three consecutive quarters, with an average year-over-year change of -2196.76 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q1 2026 (a gain of 10317.78 percentage points), and the weakest in Q1 2025 (a drop of 14329.68 percentage points).
- Business Quant data shows CODX's EBITDA Margin at -3610.97% (Q2 2026), -6134.10% (Q1 2026) and -9955.30% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 25.44% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 20.09% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 30.00% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 23.14% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 20.05% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 9.79% |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | -2,137.64% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2,137.64% |
| Jun 30, 2026 | -3,610.97% |
| Mar 31, 2026 | -6,134.10% |
| 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% |
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_KEY
import 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();