Edesa Biotech (EDSA) Operating Expenses (2013 - 2026)
Edesa Biotech (EDSA) recorded Operating Expenses of $5.52 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 189.9% from $1.9 million a year earlier.
Edesa Biotech (EDSA) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Edesa Biotech's Operating Expenses came in at $12.23 million as of Jun 30, 2026, up 89.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $7.91 million, up 12.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $7.01 million in FY2024 (-23.9%), $9.22 million in FY2023 (-49.8%), $18.37 million in FY2022 (-22.4%) and $23.68 million in FY2021 (+251.9%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses since fiscal Q3 2022.
- On a year-over-year basis, Operating Expenses rose in four of the last seven quarters, with growth averaging 39.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 189.9% in fiscal Q3 2026, against a decline of 64.4% in fiscal Q3 2023 at the low end.
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 | Edesa Biotech | 35.16 Mn | 35.16 Mn | - | 5.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.52 Mn |
| Dec 31, 2025 | 2.34 Mn |
| Sep 30, 2025 | 2.47 Mn |
| Jun 30, 2025 | 1.90 Mn |
| Mar 31, 2025 | 1.64 Mn |
| Dec 31, 2024 | 1.90 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 1.93 Mn |
| Mar 31, 2024 | 2.22 Mn |
| Dec 31, 2023 | 1.86 Mn |
| Sep 30, 2023 | 2.37 Mn |
| Jun 30, 2023 | 2.06 Mn |
| Mar 31, 2023 | 2.41 Mn |
| Dec 31, 2022 | 2.38 Mn |
| Sep 30, 2022 | 2.84 Mn |
| Jun 30, 2022 | 5.80 Mn |
| Mar 31, 2022 | 4.58 Mn |
| Dec 31, 2021 | 5.16 Mn |
| Sep 30, 2021 | 5.48 Mn |
| Jun 30, 2021 | 6.07 Mn |
Edesa Biotech 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=EDSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EDSA", "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=EDSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();