Codexis (CDXS) Cost of Revenue (2010 - 2026)
Codexis' Cost of Revenue came in at $3.51 million for Q2 2026, up 67.4% from $2.1 million a year earlier and up 70.2% from the prior quarter.
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Analysis
Codexis (CDXS) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Codexis reported Cost of Revenue of $10.08 million, down 21.2% year-over-year; for FY2025, it was $9.34 million, down 42.7% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $16.29 million in FY2024 (+27.2%), $12.81 million in FY2023 (-66.3%), $38.03 million in FY2022 (+71.3%) and $22.21 million in FY2021 (+61.6%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q4 2024.
- Year-over-year, Cost of Revenue increased in three of the last eight quarters, with an average decline of 0.9%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2022 (growth of 161.0%), and the weakest in Q3 2023 (a decline of 77.0%).
- Business Quant data shows CDXS's Cost of Revenue at $2.06 million (Q1 2026), $2.04 million (Q4 2025) and $2.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 3.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | 3.46 Mn |
| Mar 31, 2024 | 4.86 Mn |
| Dec 31, 2023 | 2.86 Mn |
| Sep 30, 2023 | 2.25 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 Cost of Revenue 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=cost-of-revenue&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();