Co-Diagnostics (CODX) Total Current Liabilities (2016 - 2026)
Co-Diagnostics (CODX) posted Total Current Liabilities of $2.51 million for Q3 2026, down 32.0% from $3.69 million a year earlier and down 12.3% from the prior quarter.
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Analysis
Co-Diagnostics (CODX) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Co-Diagnostics' Total Current Liabilities came in at $3.54 million, down 51.6% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- In prior years, Co-Diagnostics' Total Current Liabilities was $7.32 million in FY2024 (+27.3%), $5.75 million in FY2023 (+48.4%), $3.87 million in FY2022 (-69.3%) and $12.6 million in FY2021 (+210.1%).
- The Q3 2026 figure stands as the lowest quarterly Total Current Liabilities since Q3 2020.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last six quarters, with an average decline of 20.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 210.1%; the weakest was Q1 2023, with a decline of 72.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $2.86 million (Q2 2026), $4.28 million (Q1 2026) and $3.54 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 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 | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Co-Diagnostics | 1.90 Mn | -22.58 Mn | -20,463.00 | 2.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.51 Mn |
| Jun 30, 2026 | 2.86 Mn |
| Mar 31, 2026 | 4.28 Mn |
| Dec 31, 2025 | 3.54 Mn |
| Sep 30, 2025 | 3.69 Mn |
| Jun 30, 2025 | 3.71 Mn |
| Mar 31, 2025 | 5.38 Mn |
| Dec 31, 2024 | 7.32 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 5.31 Mn |
| Mar 31, 2024 | 5.27 Mn |
| Dec 31, 2023 | 5.75 Mn |
| Sep 30, 2023 | 5.10 Mn |
| Jun 30, 2023 | 5.12 Mn |
| Mar 31, 2023 | 3.61 Mn |
| Dec 31, 2022 | 3.87 Mn |
| Sep 30, 2022 | 6.01 Mn |
| Jun 30, 2022 | 6.72 Mn |
| Mar 31, 2022 | 13.02 Mn |
| Dec 31, 2021 | 12.60 Mn |
API Access
Co-Diagnostics Total 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-current-liabilities&ticker=CODX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CODX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();