Co-Diagnostics (CODX) Non Operating Income (2016 - 2026)
Co-Diagnostics' Non Operating Income was -$36,558 in Q3 2026, compared with -$39,568 a year earlier.
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Analysis
Co-Diagnostics (CODX) Non Operating Income (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Co-Diagnostics' Non Operating Income was $290,843 through Sep 30, 2026, down 86.8% year-over-year; for FY2025, it came in at $1.65 million, down 33.9% from FY2024.
- Non Operating Income has now declined for three consecutive years, though with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In earlier years, Non Operating Income was $2.5 million in FY2024 (-45.6%), $4.6 million in FY2023 (-43.5%), $8.13 million in FY2022 and -$429,157 in FY2021.
- Quarterly Non Operating Income has moved between -$64,434 (Q4 2021) and $3.28 million (Q1 2022) over five years.
- Compared with a year earlier, Non Operating Income was higher in two of the last five quarters, with growth averaging 14.8%.
- The best year-over-year quarter for Non Operating Income over five years was Q2 2022 (growth of 417.0%); the worst was Q1 2026 (a decline of 93.3%).
- Per Business Quant data, CODX's Non Operating Income in the three quarters before Q3 2026 was -$63,835 (Q2 2026), $68,893 (Q1 2026) and $322,343 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 75.80 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 106.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 64.10 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | -114.00 Mn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | -36,558.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -36,558.00 |
| Jun 30, 2026 | -63,835.00 |
| Mar 31, 2026 | 68,893.00 |
| Dec 31, 2025 | 322,343.00 |
| Sep 30, 2025 | -39,568.00 |
| Jun 30, 2025 | 339,974.00 |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 867,657.00 |
| Sep 30, 2024 | 560,671.00 |
| Jun 30, 2024 | 101,234.00 |
| Mar 31, 2024 | 970,108.00 |
| Dec 31, 2023 | 982,760.00 |
| Sep 30, 2023 | 840,176.00 |
| Jun 30, 2023 | 837,294.00 |
| Mar 31, 2023 | 1.94 Mn |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 3.06 Mn |
| Jun 30, 2022 | 719,228.00 |
| Mar 31, 2022 | 3.28 Mn |
| Dec 31, 2021 | -64,434.00 |
API Access
Co-Diagnostics Non Operating Income 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=non-operating-income&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();