Codexis (CDXS) Accumulated Expenses (2010 - 2026)
Codexis (CDXS) recorded Accumulated Expenses of $3.37 million in Q2 2026, down 1.2% from $3.41 million a year earlier but up 5.3% from the prior quarter.
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Analysis
Codexis (CDXS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Codexis reported Accumulated Expenses of $2.77 million, down 55.5% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $6.22 million in FY2024 (+31.4%), $4.74 million in FY2023 (-69.0%), $15.28 million in FY2022 (+21.5%) and $12.58 million in FY2021 (+22.4%).
- Quarterly Accumulated Expenses has ranged from $2.77 million in Q4 2025 to $15.93 million in Q3 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for six consecutive quarters, with an average decline of 23.1% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 110.4% in Q3 2021, against a decline of 69.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.2 million (Q1 2026), $2.77 million (Q4 2025) and $2.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Codexis | 127.03 Mn | -130.02 Mn | 11.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.37 Mn |
| Mar 31, 2026 | 3.20 Mn |
| Dec 31, 2025 | 2.77 Mn |
| Sep 30, 2025 | 2.99 Mn |
| Jun 30, 2025 | 3.41 Mn |
| Mar 31, 2025 | 5.12 Mn |
| Dec 31, 2024 | 6.22 Mn |
| Sep 30, 2024 | 6.51 Mn |
| Jun 30, 2024 | 5.42 Mn |
| Mar 31, 2024 | 5.37 Mn |
| Dec 31, 2023 | 4.74 Mn |
| Sep 30, 2023 | 8.80 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 8.34 Mn |
| Dec 31, 2022 | 15.28 Mn |
| Sep 30, 2022 | 12.99 Mn |
| Jun 30, 2022 | 12.93 Mn |
| Mar 31, 2022 | 14.17 Mn |
| Dec 31, 2021 | 12.58 Mn |
| Sep 30, 2021 | 15.93 Mn |
API Access
Codexis Accumulated Expenses 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=accumulated-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();