Codexis (CDXS) Asset Writedowns and Impairment (2013 - 2025)
Codexis (CDXS) reported Asset Writedowns and Impairment of $300,000 for Q4 2025, down 89.4% from $2.84 million a year earlier.
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Analysis
Codexis (CDXS) Asset Writedowns and Impairment (2013 - 2025) Analysis & Trends
Dating back to Q4 2013, Codexis' Asset Writedowns and Impairment record includes 8 quarters.
- By year, Asset Writedowns and Impairment came in at $6.9 million in FY2024 (-43.5%) and $12.22 million in FY2023.
- The Q4 2025 figure ranks as the lowest quarterly Asset Writedowns and Impairment since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 300,000.00 |
| Dec 31, 2024 | 2.84 Mn |
| Sep 30, 2024 | 3.90 Mn |
| Jun 30, 2024 | 165,000.00 |
| Dec 31, 2023 | 2.23 Mn |
| Sep 30, 2023 | 9.98 Mn |
| Jun 30, 2014 | 1.80 Mn |
| Dec 31, 2013 | 1.57 Mn |
API Access
Codexis Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();