Cardiol Therapeutics (CRDL) Operating Expenses (2020 - 2026)
Cardiol Therapeutics' Operating Expenses came in at $5.74 million for Q2 2026, up 3.6% from $5.54 million a year earlier but down 18.9% from the prior quarter.
Cardiol Therapeutics (CRDL) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cardiol Therapeutics reported Operating Expenses of $25.97 million, down 10.2% year-over-year; for FY2025, it came in at $24.56 million, down 16.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $29.42 million in FY2024 (+34.5%), $21.88 million in FY2023 (-28.2%), $30.45 million in FY2022 (-1.5%) and $30.92 million in FY2021 (+100.2%).
- The five-year range for quarterly Operating Expenses is $4.7 million (Q2 2023) to $10.39 million (Q4 2021).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 8.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 81.5%), and the weakest in Q3 2023 (a decline of 43.7%).
- Business Quant data shows CRDL's Operating Expenses at $7.08 million (Q1 2026), $5.76 million (Q4 2025) and $7.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Cardiol Therapeutics | 169.43 Mn | 169.43 Mn | - | 5.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.74 Mn |
| Mar 31, 2026 | 7.08 Mn |
| Dec 31, 2025 | 5.76 Mn |
| Sep 30, 2025 | 7.40 Mn |
| Jun 30, 2025 | 5.54 Mn |
| Mar 31, 2025 | 5.87 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 10.37 Mn |
| Jun 30, 2024 | 5.66 Mn |
| Mar 31, 2024 | 6.24 Mn |
| Dec 31, 2023 | 5.90 Mn |
| Sep 30, 2023 | 5.71 Mn |
| Jun 30, 2023 | 4.70 Mn |
| Mar 31, 2023 | 5.76 Mn |
| Dec 31, 2022 | 6.70 Mn |
| Sep 30, 2022 | 10.14 Mn |
| Jun 30, 2022 | 7.24 Mn |
| Mar 31, 2022 | 7.73 Mn |
| Dec 31, 2021 | 10.39 Mn |
| Sep 30, 2021 | 8.07 Mn |
Cardiol Therapeutics 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=CRDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CRDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();