Co-Diagnostics (CODX) Return on Sales [ROS] (2017 - 2026)
Co-Diagnostics (CODX) reported Return on Sales [ROS] of -3732.47% for Q2 2026, up 1213.68 percentage points from -4946.14% a year earlier.
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Analysis
Co-Diagnostics (CODX) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Co-Diagnostics' Return on Sales [ROS] came in at -6475.88%, down 2614.81 percentage points year-over-year; for FY2025, it came in at -8058.83%, down 7035.09 percentage points from FY2024.
- Return on Sales [ROS] has declined for five consecutive years, with a five-year change of -8114.76 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -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 ranks as the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] gained in 1 of the last seven quarters, with an average year-over-year change of -4635.01 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2024 (a gain of 5774.67 percentage points); the low point was Q1 2025 (a drop of 14816.82 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Co-Diagnostics | 4.65 Mn | 4.65 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();