Codexis (CDXS) Other Operating Expenses (2009 - 2026)
Codexis (CDXS) posted Other Operating Expenses of $12.59 million for Q3 2026, down 9.2% from $13.87 million a year earlier but up 7.5% from the prior quarter.
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Analysis
Codexis (CDXS) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at Codexis was $46.63 million, down 11.5% year-over-year; for FY2025, it was $52.31 million, up 12.7% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In prior years, Codexis' Other Operating Expenses was $46.43 million in FY2024 (-32.6%), $68.87 million in FY2023 (-14.0%), $80.1 million in FY2022 (+43.2%) and $55.92 million in FY2021 (+26.6%).
- Quarterly Other Operating Expenses has run from a low of $10.89 million in Q4 2025 to a high of $23.65 million in Q3 2023 over five years.
- On a year-over-year basis, Other Operating Expenses has declined in each of the last four quarters, with growth averaging 2.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 68.5%; the weakest was Q3 2024, with a decline of 51.3%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $11.71 million (Q2 2026), $11.45 million (Q1 2026) and $10.89 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.01 Mn |
| Jun 30, 2026 | 3.51 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 2.04 Mn |
| Sep 30, 2025 | 2.47 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.73 Mn |
| Dec 31, 2024 | 3.65 Mn |
| Sep 30, 2024 | 4.32 Mn |
| Jun 30, 2024 | 3.63 Mn |
| Mar 31, 2024 | 4.86 Mn |
| Dec 31, 2023 | 2.86 Mn |
| Sep 30, 2023 | 12.23 Mn |
| Jun 30, 2023 | 3.18 Mn |
| Mar 31, 2023 | 4.52 Mn |
| Dec 31, 2022 | 8.46 Mn |
| Sep 30, 2022 | 9.79 Mn |
| Jun 30, 2022 | 11.27 Mn |
| Mar 31, 2022 | 8.52 Mn |
| Dec 31, 2021 | 6.81 Mn |
API Access
Codexis Other Operating 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=other-operating-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();