Co-Diagnostics (CODX) Operating Margin (2017 - 2026)
Co-Diagnostics' Operating Margin was -3732.47% in Q2 2026, up 1213.68 percentage points from -4946.14% a year earlier.
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Analysis
Co-Diagnostics (CODX) Operating Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Co-Diagnostics' Operating Margin was -6475.88% through Jun 30, 2026, down 2614.81 percentage points year-over-year; for FY2025, it came in at -8058.83%, down 7035.09 percentage points from FY2024.
- Operating Margin has now declined for five consecutive years, with a five-year change of -8114.76 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -1023.75% in FY2024 (-396.82 pp), -626.92% in FY2023 (-548.08 pp), -78.85% in FY2022 (-125.91 pp) and 47.06% in FY2021 (-8.87 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin since Q3 2024.
- Compared with a year earlier, Operating Margin was higher in 1 of the last seven quarters, with an average year-over-year change of -4635.01 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q2 2024 (a gain of 5774.67 percentage points); the worst was Q1 2025 (a drop of 14816.82 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 29.48% |
| 10 | Co-Diagnostics | 2.41 Mn | -37.93 Mn | 120,828.00 | -3,732.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,732.47% |
| Dec 31, 2025 | -10,056.68% |
| Sep 30, 2025 | -4,824.49% |
| Jun 30, 2025 | -4,946.14% |
| Mar 31, 2025 | -17,009.68% |
| Dec 31, 2024 | -7,973.90% |
| Sep 30, 2024 | -1,596.36% |
| Jun 30, 2024 | -289.06% |
| Mar 31, 2024 | -2,192.86% |
| Dec 31, 2023 | -332.62% |
| Sep 30, 2023 | -363.68% |
| Jun 30, 2023 | -6,063.74% |
| Mar 31, 2023 | -1,653.05% |
| Dec 31, 2022 | -1,863.84% |
| Sep 30, 2022 | -128.29% |
| Jun 30, 2022 | -82.56% |
| Mar 31, 2022 | 43.28% |
| Dec 31, 2021 | 50.53% |
| Sep 30, 2021 | 45.28% |
| Jun 30, 2021 | 43.10% |
API Access
Co-Diagnostics Operating 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=operating-margin&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();