Codexis (CDXS) Capital Expenditures (2010 - 2026)
Codexis' Capital Expenditures came in at $898,000 for Q2 2026, down 64.3% from $2.51 million a year earlier but up 410.2% from the prior quarter.
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Analysis
Codexis (CDXS) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Codexis reported Capital Expenditures of $1.78 million, down 72.9% year-over-year; for FY2025, it was $4.47 million, up 3.9% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $4.31 million in FY2024 (-2.6%), $4.42 million in FY2023 (-46.8%), $8.31 million in FY2022 (-39.9%) and $13.83 million in FY2021 (+268.9%).
- The five-year range for quarterly Capital Expenditures is -$380,000 (Q4 2023) to $5.48 million (Q4 2021).
- Year-over-year, Capital Expenditures has declined for four consecutive quarters, with growth averaging 41.9% over the last seven quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q2 2025 (growth of 536.5%), and the weakest in Q1 2026 (a decline of 86.0%).
- Business Quant data shows CDXS's Capital Expenditures at $176,000 (Q1 2026), $520,000 (Q4 2025) and $182,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 898,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 898,000.00 |
| Mar 31, 2026 | 176,000.00 |
| Dec 31, 2025 | 520,000.00 |
| Sep 30, 2025 | 182,000.00 |
| Jun 30, 2025 | 2.51 Mn |
| Mar 31, 2025 | 1.26 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 1.01 Mn |
| Jun 30, 2024 | 395,000.00 |
| Mar 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | -380,000.00 |
| Sep 30, 2023 | 678,000.00 |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 2.54 Mn |
| Dec 31, 2022 | -33,000.00 |
| Sep 30, 2022 | 1.31 Mn |
| Jun 30, 2022 | 1.94 Mn |
| Mar 31, 2022 | 5.09 Mn |
| Dec 31, 2021 | 5.48 Mn |
| Sep 30, 2021 | 4.00 Mn |
API Access
Codexis Capital Expenditures 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=capital-expenditures&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();