Codexis (CDXS) Operating Leases (2019 - 2026)
Codexis (CDXS) recorded Operating Leases of $28.42 million in Q2 2026, up 6.8% from $26.61 million a year earlier but down 2.4% from the prior quarter.
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Analysis
Codexis (CDXS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Codexis reported Operating Leases of $30.16 million, up 7.1% from FY2024.
- Annual Operating Leases has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $28.16 million in FY2024 (+130.0%), $12.24 million in FY2023 (-68.0%), $38.28 million in FY2022 (-12.1%) and $43.56 million in FY2021 (+95.1%).
- Quarterly Operating Leases has ranged from $9.13 million in Q3 2024 to $43.56 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Leases has increased for seven consecutive quarters, with growth averaging 75.8% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 182.5% in Q3 2025, against a decline of 71.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $29.12 million (Q1 2026), $30.16 million (Q4 2025) and $25.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Codexis | 124.29 Mn | -132.76 Mn | 11.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.42 Mn |
| Mar 31, 2026 | 29.12 Mn |
| Dec 31, 2025 | 30.16 Mn |
| Sep 30, 2025 | 25.80 Mn |
| Jun 30, 2025 | 26.61 Mn |
| Mar 31, 2025 | 27.40 Mn |
| Dec 31, 2024 | 28.16 Mn |
| Sep 30, 2024 | 9.13 Mn |
| Jun 30, 2024 | 10.19 Mn |
| Mar 31, 2024 | 11.23 Mn |
| Dec 31, 2023 | 12.24 Mn |
| Sep 30, 2023 | 13.22 Mn |
| Jun 30, 2023 | 35.38 Mn |
| Mar 31, 2023 | 36.85 Mn |
| Dec 31, 2022 | 38.28 Mn |
| Sep 30, 2022 | 39.66 Mn |
| Jun 30, 2022 | 41.01 Mn |
| Mar 31, 2022 | 42.35 Mn |
| Dec 31, 2021 | 43.56 Mn |
| Sep 30, 2021 | 20.22 Mn |
API Access
Codexis Operating Leases 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=operating-leases&ticker=CDXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CDXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();