CDT Equity (CDT) Total Liabilities (2021 - 2026)
CDT Equity (CDT) posted Total Liabilities of $23.62 million for Q2 2026, up 429.5% from $4.46 million a year earlier and up 9.1% from the prior quarter.
CDT Equity (CDT) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, CDT Equity's Total Liabilities came in at $12.82 million, up 16.7% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of 20.1% (FY2021 to FY2025).
- In prior years, CDT Equity's Total Liabilities was $10.99 million in FY2024 (+43.0%), $7.68 million in FY2023 (-23.9%), $10.09 million in FY2022 (+63.6%) and $6.17 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2022.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 86.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 429.5%; the weakest was Q1 2023, with a decline of 91.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $21.64 million (Q1 2026), $12.82 million (Q4 2025) and $4.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.92 Bn | 1,105.50 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 617.57 Bn | 536.10 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.37 Bn | 474.48 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 367.96 Bn | 322.33 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.98 Bn | 261.97 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.45 Bn | 235.14 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.30 Bn | 191.70 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.27 Bn | 164.46 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.65 Bn | 116.29 Bn | 10.94 Bn | 115.64 Bn |
| 10 | CDT Equity | 3,018.91 | -6.19 Mn | - | 23.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.62 Mn |
| Mar 31, 2026 | 21.64 Mn |
| Dec 31, 2025 | 12.82 Mn |
| Sep 30, 2025 | 4.27 Mn |
| Jun 30, 2025 | 4.46 Mn |
| Mar 31, 2025 | 4.63 Mn |
| Dec 31, 2024 | 10.99 Mn |
| Sep 30, 2024 | 12.11 Mn |
| Jun 30, 2024 | 8.77 Mn |
| Mar 31, 2024 | 8.02 Mn |
| Dec 31, 2023 | 7.68 Mn |
| Sep 30, 2023 | 13.10 Mn |
| Jun 30, 2023 | 15.04 Mn |
| Mar 31, 2023 | 12.53 Mn |
| Dec 31, 2022 | 10.09 Mn |
| Sep 30, 2022 | 143.34 Mn |
| Jun 30, 2022 | 142.61 Mn |
| Mar 31, 2022 | 139.60 Mn |
| Dec 31, 2021 | 6.17 Mn |
CDT Equity Total Liabilities 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=total-liabilities&ticker=CDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();