Codexis (CDXS) Property, Plant & Equipment (Net) (2009 - 2026)
Codexis (CDXS) posted Property, Plant & Equipment (Net) of $13.33 million for Q3 2026, down 4.9% from $14.01 million a year earlier but up 11.9% from the prior quarter.
Codexis (CDXS) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Codexis' Property, Plant & Equipment (Net) came in at $13.02 million, down 8.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three consecutive years, though with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In prior years, Codexis' Property, Plant & Equipment (Net) was $14.2 million in FY2024 (-8.3%), $15.49 million in FY2023 (-31.5%), $22.61 million in FY2022 (+5.9%) and $21.35 million in FY2021 (+120.6%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $11.91 million in Q2 2026 to a high of $23.69 million in Q2 2022 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last four quarters, with an average decline of 5.2% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2022, with growth of 125.8%; the weakest was Q2 2024, with a decline of 40.1%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $11.91 million (Q2 2026), $12.59 million (Q1 2026) and $13.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 10.58 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 12.88 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 5.77 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 4.05 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 4.18 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.86 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.73 Bn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | 13.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.33 Mn |
| Jun 30, 2026 | 11.91 Mn |
| Mar 31, 2026 | 12.59 Mn |
| Dec 31, 2025 | 13.02 Mn |
| Sep 30, 2025 | 14.01 Mn |
| Jun 30, 2025 | 14.98 Mn |
| Mar 31, 2025 | 15.80 Mn |
| Dec 31, 2024 | 14.20 Mn |
| Sep 30, 2024 | 13.27 Mn |
| Jun 30, 2024 | 13.97 Mn |
| Mar 31, 2024 | 14.67 Mn |
| Dec 31, 2023 | 15.49 Mn |
| Sep 30, 2023 | 15.28 Mn |
| Jun 30, 2023 | 23.33 Mn |
| Mar 31, 2023 | 23.61 Mn |
| Dec 31, 2022 | 22.61 Mn |
| Sep 30, 2022 | 23.32 Mn |
| Jun 30, 2022 | 23.69 Mn |
| Mar 31, 2022 | 23.47 Mn |
| Dec 31, 2021 | 21.35 Mn |
Codexis Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();