Codexis (CDXS) Change in Accrued Expenses (2009 - 2026)
Codexis (CDXS) reported Change in Accrued Expenses of -$749,000 for Q3 2026, compared with -$1.98 million a year earlier.
Codexis (CDXS) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Codexis' Change in Accrued Expenses came in at $1.75 million, down 52.1% year-over-year; for FY2025, it came in at $2.85 million.
- Change in Accrued Expenses has a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- By year, Change in Accrued Expenses came in at -$1.98 million in FY2024, $14.04 million in FY2023, -$5.98 million in FY2022 and -$6.58 million in FY2021.
- Five-year quarterly Change in Accrued Expenses spans a low of -$3.93 million in Q3 2024 and a high of $11.09 million in Q1 2023.
- Per Business Quant data, the three quarters before Q3 2026 came in at -$1.41 million (Q2 2026), $5.36 million (Q1 2026) and -$1.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 30.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Codexis | 127.04 Mn | -143.91 Mn | 15.25 Mn | -749,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -749,000.00 |
| Jun 30, 2026 | -1.41 Mn |
| Mar 31, 2026 | 5.36 Mn |
| Dec 31, 2025 | -1.45 Mn |
| Sep 30, 2025 | -1.98 Mn |
| Jun 30, 2025 | -223,000.00 |
| Mar 31, 2025 | 6.50 Mn |
| Dec 31, 2024 | -648,000.00 |
| Sep 30, 2024 | -3.93 Mn |
| Jun 30, 2024 | -1.28 Mn |
| Mar 31, 2024 | 3.88 Mn |
| Dec 31, 2023 | 6.77 Mn |
| Sep 30, 2023 | -3.10 Mn |
| Jun 30, 2023 | -718,000.00 |
| Mar 31, 2023 | 11.09 Mn |
| Dec 31, 2022 | -3.70 Mn |
| Sep 30, 2022 | -2.20 Mn |
| Jun 30, 2022 | -202,000.00 |
| Mar 31, 2022 | 121,000.00 |
| Dec 31, 2021 | 461,000.00 |
Codexis Change in Accrued 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=change-in-accured-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();