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 | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 115.70 Bn |
| 10 | CDT Equity | 426.40 | -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();