Codexis (CDXS) Total Current Liabilities (2009 - 2026)
Codexis' Total Current Liabilities came in at $34.09 million for Q3 2026, up 84.5% from $18.48 million a year earlier and up 45.0% from the prior quarter.
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Analysis
Codexis (CDXS) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Codexis' Total Current Liabilities was $25.32 million, up 7.1% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $23.65 million in FY2024 (-34.0%), $35.83 million in FY2023 (-27.0%), $49.07 million in FY2022 (+47.0%) and $33.37 million in FY2021 (+33.6%).
- The Q3 2026 figure represents the highest quarterly Total Current Liabilities since Q3 2024.
- Year-over-year, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 5.3%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2026 (growth of 84.5%), and the weakest in Q2 2025 (a decline of 50.1%).
- Business Quant data shows CDXS's Total Current Liabilities at $23.51 million (Q2 2026), $14.85 million (Q1 2026) and $25.32 million (Q4 2025) in the three quarters before Q3 2026.
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 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | 34.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.09 Mn |
| Jun 30, 2026 | 23.51 Mn |
| Mar 31, 2026 | 14.85 Mn |
| Dec 31, 2025 | 25.32 Mn |
| Sep 30, 2025 | 18.48 Mn |
| Jun 30, 2025 | 15.24 Mn |
| Mar 31, 2025 | 20.90 Mn |
| Dec 31, 2024 | 23.65 Mn |
| Sep 30, 2024 | 35.13 Mn |
| Jun 30, 2024 | 30.54 Mn |
| Mar 31, 2024 | 29.08 Mn |
| Dec 31, 2023 | 35.83 Mn |
| Sep 30, 2023 | 38.42 Mn |
| Jun 30, 2023 | 35.74 Mn |
| Mar 31, 2023 | 38.31 Mn |
| Dec 31, 2022 | 49.07 Mn |
| Sep 30, 2022 | 31.91 Mn |
| Jun 30, 2022 | 30.01 Mn |
| Mar 31, 2022 | 29.50 Mn |
| Dec 31, 2021 | 33.37 Mn |
API Access
Codexis 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=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "CDXS", "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=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();