Codexis (CDXS) Non-Current Assets (2009 - 2026)
Codexis (CDXS) recorded Non-Current Assets of $48.46 million in Q3 2026, up 1.4% from $47.77 million a year earlier and up 0.7% from the prior quarter.
Powered by 
Analysis
Codexis (CDXS) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Codexis reported Non-Current Assets of $50.98 million, up 1.5% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $50.24 million in FY2024 (+16.6%), $43.1 million in FY2023 (-50.7%), $87.5 million in FY2022 (+3.6%) and $84.5 million in FY2021 (+127.0%).
- Quarterly Non-Current Assets has ranged from $35.28 million in Q3 2024 to $90.41 million in Q1 2022 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in six of the last eight quarters, with growth averaging 11.8%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 134.2% in Q1 2022, against a decline of 53.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $48.14 million (Q2 2026), $49.72 million (Q1 2026) and $50.98 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 27.53 Bn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | 48.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.46 Mn |
| Jun 30, 2026 | 48.14 Mn |
| Mar 31, 2026 | 49.72 Mn |
| Dec 31, 2025 | 50.98 Mn |
| Sep 30, 2025 | 47.77 Mn |
| Jun 30, 2025 | 49.52 Mn |
| Mar 31, 2025 | 51.08 Mn |
| Dec 31, 2024 | 50.24 Mn |
| Sep 30, 2024 | 35.28 Mn |
| Jun 30, 2024 | 40.61 Mn |
| Mar 31, 2024 | 41.61 Mn |
| Dec 31, 2023 | 43.10 Mn |
| Sep 30, 2023 | 51.44 Mn |
| Jun 30, 2023 | 86.72 Mn |
| Mar 31, 2023 | 88.11 Mn |
| Dec 31, 2022 | 87.50 Mn |
| Sep 30, 2022 | 89.29 Mn |
| Jun 30, 2022 | 89.69 Mn |
| Mar 31, 2022 | 90.41 Mn |
| Dec 31, 2021 | 84.50 Mn |
API Access
Codexis Non-Current 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=non-current-assets&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();