Codexis (CDXS) Receivables - Net (2010 - 2026)
Codexis' Receivables - Net was $11.65 million in Q2 2026, down 29.3% from $16.48 million a year earlier but up 45.1% from the prior quarter.
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Analysis
Codexis (CDXS) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Codexis came in at $10.69 million, down 43.4% from FY2024.
- Receivables - Net has now declined for three consecutive years, with a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- In earlier years, Receivables - Net was $18.88 million in FY2024 (-5.2%), $19.93 million in FY2023 (-51.2%), $40.87 million in FY2022 (+8.6%) and $37.65 million in FY2021 (+28.6%).
- Quarterly Receivables - Net has moved between $8.03 million (Q1 2026) and $48.92 million (Q2 2022) over five years.
- Compared with a year earlier, Receivables - Net has declined for four straight quarters, with an average decline of 18.6% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was Q3 2021 (growth of 82.2%); the worst was Q2 2023 (a decline of 55.8%).
- Per Business Quant data, CDXS's Receivables - Net in the three quarters before Q2 2026 was $8.03 million (Q1 2026), $10.69 million (Q4 2025) and $9.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Codexis | 123.37 Mn | -133.68 Mn | 11.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.65 Mn |
| Mar 31, 2026 | 8.03 Mn |
| Dec 31, 2025 | 10.69 Mn |
| Sep 30, 2025 | 9.73 Mn |
| Jun 30, 2025 | 16.48 Mn |
| Mar 31, 2025 | 11.59 Mn |
| Dec 31, 2024 | 18.88 Mn |
| Sep 30, 2024 | 16.54 Mn |
| Jun 30, 2024 | 12.39 Mn |
| Mar 31, 2024 | 14.21 Mn |
| Dec 31, 2023 | 19.93 Mn |
| Sep 30, 2023 | 19.09 Mn |
| Jun 30, 2023 | 21.61 Mn |
| Mar 31, 2023 | 20.02 Mn |
| Dec 31, 2022 | 40.87 Mn |
| Sep 30, 2022 | 29.78 Mn |
| Jun 30, 2022 | 48.92 Mn |
| Mar 31, 2022 | 44.12 Mn |
| Dec 31, 2021 | 37.65 Mn |
| Sep 30, 2021 | 48.47 Mn |
API Access
Codexis Receivables - Net 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=receivables-net&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();