Codexis (CDXS) Non-Current Debt (2017 - 2026)
Codexis (CDXS) posted Non-Current Debt of -$4.05 million for Q4 2010.
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Analysis
Codexis (CDXS) Non-Current Debt (2017 - 2026) Analysis & Trends
For FY2010, Codexis' Non-Current Debt came in at -$8.03 million.
- In prior years, Codexis' Non-Current Debt was -$6.09 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 33.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.82 Mn |
| Mar 31, 2026 | 40.48 Mn |
| Dec 31, 2025 | 40.11 Mn |
| Sep 30, 2025 | 39.73 Mn |
| Jun 30, 2025 | 39.37 Mn |
| Mar 31, 2025 | 29.19 Mn |
| Dec 31, 2024 | 28.91 Mn |
| Sep 30, 2024 | 28.63 Mn |
| Jun 30, 2024 | 28.37 Mn |
| Mar 31, 2024 | 28.10 Mn |
| Sep 30, 2018 | 122,000.00 |
| Jun 30, 2018 | 183,000.00 |
| Mar 31, 2018 | 243,000.00 |
| Dec 31, 2017 | 302,000.00 |
| Sep 30, 2017 | 360,000.00 |
| Jun 30, 2017 | 419,000.00 |
| Mar 31, 2017 | 255,000.00 |
API Access
Codexis Non-Current Debt 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-current-debt&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();