Codexis (CDXS) Income Taxes Paid (2017 - 2026)
Codexis' Income Taxes Paid was $36,000 in Q1 2026.
Analysis
Codexis (CDXS) Income Taxes Paid (2017 - 2026) Analysis & Trends
For FY2024, Income Taxes Paid at Codexis came in at $17,000, down 91.2% from FY2023.
- Income Taxes Paid shows a five-year compound annual growth rate of 27.7% (FY2019 to FY2024).
- In earlier years, Income Taxes Paid was $194,000 in FY2023 (+94.0%), $100,000 in FY2022 (-2.0%), $102,000 in FY2021 (-67.3%) and $312,000 in FY2020.
- The Q1 2026 figure marks the highest quarterly Income Taxes Paid since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (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 | 322.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 199.00 Mn |
| 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 | 31.00 Mn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 36,000.00 |
| Mar 31, 2024 | 17,000.00 |
| Dec 31, 2023 | 1,000.00 |
| Mar 31, 2023 | 193,000.00 |
| Sep 30, 2022 | 100,000.00 |
| Dec 31, 2021 | 1,000.00 |
| Sep 30, 2021 | 101,000.00 |
| Sep 30, 2020 | 307,000.00 |
| Sep 30, 2019 | 5,000.00 |
| Mar 31, 2018 | 5,000.00 |
| Sep 30, 2017 | 27,000.00 |
| Jun 30, 2017 | 4,000.00 |
| Mar 31, 2017 | 1,000.00 |
API Access
Codexis Income Taxes Paid 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=income-taxes-paid&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();