Co-Diagnostics (CODX) Total Non-Current Liabilities (2016 - 2026)
Co-Diagnostics' Total Non-Current Liabilities came in at $854,749 for Q3 2026, down 29.9% from $1.22 million a year earlier and down 15.8% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Co-Diagnostics' Total Non-Current Liabilities was $574,301, down 75.8% from FY2024.
- Total Non-Current Liabilities has declined in each of the last four years, though with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.37 million in FY2024 (-33.4%), $3.56 million in FY2023 (-24.2%), $4.69 million in FY2022 (-63.8%) and $12.96 million in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $574,301 (Q4 2025) to $12.96 million (Q4 2021).
- Year-over-year, Total Non-Current Liabilities has declined for ten consecutive quarters, with an average decline of 44.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 537.1%), and the weakest in Q4 2025 (a decline of 75.8%).
- Business Quant data shows CODX's Total Non-Current Liabilities at $1.01 million (Q2 2026), $1.17 million (Q1 2026) and $574,301 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | - |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 854,749.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 854,749.00 |
| Jun 30, 2026 | 1.01 Mn |
| Mar 31, 2026 | 1.17 Mn |
| Dec 31, 2025 | 574,301.00 |
| Sep 30, 2025 | 1.22 Mn |
| Jun 30, 2025 | 1.62 Mn |
| Mar 31, 2025 | 1.85 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Sep 30, 2024 | 2.80 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 3.05 Mn |
| Dec 31, 2023 | 3.56 Mn |
| Sep 30, 2023 | 4.09 Mn |
| Jun 30, 2023 | 4.25 Mn |
| Mar 31, 2023 | 2.76 Mn |
| Dec 31, 2022 | 4.69 Mn |
| Sep 30, 2022 | 6.88 Mn |
| Jun 30, 2022 | 9.65 Mn |
| Mar 31, 2022 | 10.42 Mn |
| Dec 31, 2021 | 12.96 Mn |
API Access
Co-Diagnostics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();