Co-Diagnostics (CODX) Net Margin (2017 - 2026)
Co-Diagnostics' Net Margin came in at -2229.35% for Q3 2026, up 1819.92 percentage points from -4049.27% a year earlier and up 1553.08 percentage points from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Net Margin (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Co-Diagnostics reported Net Margin of -5527.61%, up 808.66 percentage points year-over-year; for FY2025, it was -7533.62%, down 6572.25 percentage points from FY2024.
- Net Margin has declined in each of the last five years, with a five-year change of -7590.59 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was -961.37% in FY2024 (-442.68 pp), -518.68% in FY2023 (-477.07 pp), -41.61% in FY2022 (-79.06 pp) and 37.45% in FY2021 (-19.53 pp).
- The Q3 2026 figure represents the highest quarterly Net Margin since Q3 2024.
- Year-over-year, Net Margin has increased for three consecutive quarters, with an average year-over-year change of -2228.44 percentage points over the last eight quarters.
- The fastest year-over-year change in Net Margin over five years came in Q1 2026 (a gain of 8721.26 percentage points), and the weakest in Q1 2025 (a drop of 12993.16 percentage points).
- Business Quant data shows CODX's Net Margin at -3782.43% (Q2 2026), -6262.27% (Q1 2026) and -9755.05% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.18% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 7.07% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 18.84% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 17.15% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 11.55% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 11.33% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 17.57% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.09% |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | -2,229.35% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2,229.35% |
| Jun 30, 2026 | -3,782.43% |
| Mar 31, 2026 | -6,262.27% |
| Dec 31, 2025 | -9,755.05% |
| Sep 30, 2025 | -4,049.27% |
| Jun 30, 2025 | -4,745.02% |
| Mar 31, 2025 | -14,983.53% |
| Dec 31, 2024 | -7,387.37% |
| Sep 30, 2024 | -1,512.37% |
| Jun 30, 2024 | -286.03% |
| Mar 31, 2024 | -1,990.37% |
| Dec 31, 2023 | -412.82% |
| Sep 30, 2023 | -243.47% |
| Jun 30, 2023 | -4,508.87% |
| Mar 31, 2023 | -956.11% |
| Dec 31, 2022 | -1,563.02% |
| Sep 30, 2022 | -26.72% |
| Jun 30, 2022 | -53.48% |
| Mar 31, 2022 | 51.61% |
| Dec 31, 2021 | 36.75% |
API Access
Co-Diagnostics Net 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=net-margin&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();