Cardiol Therapeutics (CRDL) Total Liabilities (2020 - 2026)
Cardiol Therapeutics (CRDL) posted Total Liabilities of $3.75 million for Q2 2026, down 97.6% from $157.76 million a year earlier and down 27.5% from the prior quarter.
Cardiol Therapeutics (CRDL) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Cardiol Therapeutics' Total Liabilities came in at $4.19 million, down 15.7% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior years, Cardiol Therapeutics' Total Liabilities was $4.97 million in FY2024 (-22.2%), $6.39 million in FY2023 (-11.9%), $7.25 million in FY2022 (-20.6%) and $9.13 million in FY2021 (+343.9%).
- Quarterly Total Liabilities has run from a low of -$77.62 million in Q3 2023 to a high of $157.76 million in Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 66.1% over the last five quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 343.9%; the weakest was Q3 2025, with a decline of 98.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $5.17 million (Q1 2026), $4.19 million (Q4 2025) and $2.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Cardiol Therapeutics | 90.55 Mn | -16.69 Mn | - | 4.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.75 Mn |
| Mar 31, 2026 | 5.17 Mn |
| Dec 31, 2025 | 4.19 Mn |
| Sep 30, 2025 | 2.43 Mn |
| Jun 30, 2025 | 157.76 Mn |
| Mar 31, 2025 | 148.85 Mn |
| Dec 31, 2024 | 4.97 Mn |
| Sep 30, 2024 | 140.07 Mn |
| Jun 30, 2024 | 7.99 Mn |
| Mar 31, 2024 | 8.18 Mn |
| Dec 31, 2023 | 6.39 Mn |
| Sep 30, 2023 | -77.62 Mn |
| Jun 30, 2023 | -75.85 Mn |
| Mar 31, 2023 | -70.22 Mn |
| Dec 31, 2022 | 7.25 Mn |
| Sep 30, 2022 | -57.46 Mn |
| Jun 30, 2022 | 8.86 Mn |
| Mar 31, 2022 | 8.19 Mn |
| Dec 31, 2021 | 9.13 Mn |
| Sep 30, 2021 | -45.55 Mn |
Cardiol Therapeutics 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=CRDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CRDL", "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=CRDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();