Co-Diagnostics (CODX) Return on Sales [ROS] (2017 - 2026)
Co-Diagnostics (CODX) reported Return on Sales [ROS] of -2216.25% for Q3 2026, up 2608.24 percentage points from -4824.49% a year earlier and up 1516.22 percentage points from the prior quarter.
Co-Diagnostics (CODX) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Co-Diagnostics' Return on Sales [ROS] came in at -5614.27%, up 1381.42 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 Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -2237.95 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2026 (a gain of 10700.56 percentage points); the low point was Q1 2025 (a drop of 14816.82 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at -3732.47% (Q2 2026), -6309.12% (Q1 2026) and -10056.68% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 6.36% |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | -2,216.25% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2,216.25% |
| Jun 30, 2026 | -3,732.47% |
| Mar 31, 2026 | -6,309.12% |
| 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% |
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();