Codexis (CDXS) Property, Plant & Equipment (Net) (2010 - 2026)
Codexis (CDXS) posted Property, Plant & Equipment (Net) of $11.91 million for Q2 2026, down 20.5% from $14.98 million a year earlier and down 5.4% from the prior quarter.
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Analysis
Codexis (CDXS) Property, Plant & Equipment (Net) (2010 - 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%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last three quarters, with an average decline of 6.3% 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 $12.59 million (Q1 2026), $13.02 million (Q4 2025) and $14.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 11.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 16.12 Mn |
API Access
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_KEYimport 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();