CDT Equity (CDT) Operating Expenses (2022 - 2026)
CDT Equity's Operating Expenses was $3 million in Q2 2026, down 39.4% from $4.95 million a year earlier and down 17.9% from the prior quarter.
CDT Equity (CDT) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, CDT Equity's Operating Expenses was $34.85 million through Jun 30, 2026, up 94.8% year-over-year; for FY2025, it came in at $36.76 million, up 138.4% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a four-year compound annual growth rate of 857.1% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $15.42 million in FY2024 (+193.0%), $5.26 million in FY2023 (+66.5%), $3.16 million in FY2022 and $4,381 in FY2021.
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q1 2024.
- Compared with a year earlier, Operating Expenses was higher in six of the last seven quarters, with growth averaging 87.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2023 (growth of 521.6%); the worst was Q3 2023 (a decline of 53.9%).
- Per Business Quant data, CDT's Operating Expenses in the three quarters before Q2 2026 was $3.66 million (Q1 2026), $21.16 million (Q4 2025) and $7.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | CDT Equity | 36,602.35 | 36,602.35 | - | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 3.66 Mn |
| Dec 31, 2025 | 21.16 Mn |
| Sep 30, 2025 | 7.03 Mn |
| Jun 30, 2025 | 4.95 Mn |
| Mar 31, 2025 | 3.62 Mn |
| Dec 31, 2024 | 3.51 Mn |
| Sep 30, 2024 | 5.81 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | 2.96 Mn |
| Dec 31, 2023 | 2.43 Mn |
| Sep 30, 2023 | 430,000.00 |
| Jun 30, 2023 | 888,000.00 |
| Mar 31, 2023 | 1.52 Mn |
| Dec 31, 2022 | 1.67 Mn |
| Sep 30, 2022 | 933,000.00 |
| Jun 30, 2022 | 249,420.00 |
| Mar 31, 2022 | 243,718.00 |
CDT Equity Operating 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=operating-expenses&ticker=CDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CDT", "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-expenses&ticker=CDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();