Codexis (CDXS) Prepaid Assets (2009 - 2026)
Codexis' Prepaid Assets came in at $5.36 million for Q3 2026, up 0.4% from $5.34 million a year earlier and up 61.1% from the prior quarter.
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Analysis
Codexis (CDXS) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Codexis' Prepaid Assets was $5.63 million, up 36.3% from FY2024.
- Prepaid Assets carries a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Prepaid Assets was $4.13 million in FY2024 (-20.9%), $5.22 million in FY2023 (-4.9%), $5.49 million in FY2022 (-3.7%) and $5.7 million in FY2021 (+66.9%).
- The five-year range for quarterly Prepaid Assets is $3.06 million (Q2 2024) to $5.7 million (Q4 2021).
- Year-over-year, Prepaid Assets increased in four of the last eight quarters, with growth averaging 6.8%.
- The fastest year-over-year change in Prepaid Assets over five years came in Q4 2021 (growth of 66.9%), and the weakest in Q3 2024 (a decline of 35.4%).
- Business Quant data shows CDXS's Prepaid Assets at $3.33 million (Q2 2026), $4.06 million (Q1 2026) and $5.63 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.36 Mn |
| Jun 30, 2026 | 3.33 Mn |
| Mar 31, 2026 | 4.06 Mn |
| Dec 31, 2025 | 5.63 Mn |
| Sep 30, 2025 | 5.34 Mn |
| Jun 30, 2025 | 3.47 Mn |
| Mar 31, 2025 | 4.16 Mn |
| Dec 31, 2024 | 4.13 Mn |
| Sep 30, 2024 | 3.49 Mn |
| Jun 30, 2024 | 3.06 Mn |
| Mar 31, 2024 | 5.27 Mn |
| Dec 31, 2023 | 5.22 Mn |
| Sep 30, 2023 | 5.40 Mn |
| Jun 30, 2023 | 3.76 Mn |
| Mar 31, 2023 | 4.59 Mn |
| Dec 31, 2022 | 5.49 Mn |
| Sep 30, 2022 | 5.38 Mn |
| Jun 30, 2022 | 3.99 Mn |
| Mar 31, 2022 | 4.37 Mn |
| Dec 31, 2021 | 5.70 Mn |
API Access
Codexis Prepaid Assets 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=prepaid-assets&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();