Codexis (CDXS) Depreciation and Depletion (2017 - 2026)
Codexis' Depreciation and Depletion was $1.2 million in Q2 2026, down 8.0% from $1.3 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Codexis (CDXS) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Codexis' Depreciation and Depletion was $5.08 million through Jun 30, 2026, up 5.6% year-over-year; for FY2025, it came in at $5.1 million, up 5.2% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $4.85 million in FY2024 (-12.2%), $5.52 million in FY2023 (+2.1%), $5.4 million in FY2022 (+73.5%) and $3.11 million in FY2021 (+59.6%).
- The Q2 2026 figure marks the lowest quarterly Depreciation and Depletion since Q1 2025.
- Compared with a year earlier, Depreciation and Depletion was higher in four of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2022 (growth of 87.3%); the worst was Q2 2024 (a decline of 16.3%).
- Per Business Quant data, CDXS's Depreciation and Depletion in the three quarters before Q2 2026 was $1.25 million (Q1 2026), $1.32 million (Q4 2025) and $1.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | - |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn | 1.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 1.25 Mn |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 1.18 Mn |
| Jun 30, 2024 | 1.24 Mn |
| Mar 31, 2024 | 1.25 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 1.48 Mn |
| Mar 31, 2023 | 1.47 Mn |
| Dec 31, 2022 | 1.44 Mn |
| Sep 30, 2022 | 1.41 Mn |
| Jun 30, 2022 | 1.34 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 970,000.00 |
| Sep 30, 2021 | 768,000.00 |
API Access
Codexis Depreciation and Depletion 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=depreciation-and-depletion&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();