Codexis (CDXS) Other Operating Expenses (2010 - 2026)
Codexis (CDXS) posted Other Operating Expenses of $3.51 million for Q2 2026, up 67.4% from $2.1 million a year earlier and up 70.2% from the prior quarter.
Powered by 
Analysis
Codexis (CDXS) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Codexis was $13.49 million, up 5.4% year-over-year; for FY2025, it came in at $9.34 million, down 43.2% from FY2024.
- Annual Other Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- In prior years, Codexis' Other Operating Expenses was $16.45 million in FY2024 (-27.8%), $22.79 million in FY2023 (-40.1%), $38.03 million in FY2022 (+71.3%) and $22.21 million in FY2021 (+61.6%).
- Quarterly Other Operating Expenses has run from a low of $2.06 million in Q1 2026 to a high of $12.23 million in Q3 2023 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with an average decline of 9.2%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2022, with growth of 161.0%; the weakest was Q2 2023, with a decline of 71.8%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.06 million (Q1 2026), $5.45 million (Q4 2025) and $2.47 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 | 3.51 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 5.45 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 |
| Sep 30, 2021 | 6.87 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();