Edesa Biotech (EDSA) Selling, General & Administrative (2013 - 2026)
Edesa Biotech's Selling, General & Administrative came in at $1.56 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 61.9% from $964,676 a year earlier.
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Analysis
Edesa Biotech (EDSA) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Edesa Biotech reported Selling, General & Administrative of $4.99 million, up 27.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $4.24 million, up 2.7% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by fiscal year, Selling, General & Administrative was $4.13 million in FY2024 (-6.7%), $4.43 million in FY2023 (-12.1%), $5.04 million in FY2022 (-12.2%) and $5.73 million in FY2021 (+69.5%).
- The fiscal Q3 2026 figure represents the highest quarterly Selling, General & Administrative since fiscal Q3 2021.
- Year-over-year, Selling, General & Administrative increased in four of the last seven quarters, with growth averaging 11.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q3 2026 (growth of 61.9%), and the weakest in fiscal Q2 2023 (a decline of 37.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Edesa Biotech | 37.18 Mn | 37.18 Mn | - | 1.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.56 Mn |
| Dec 31, 2025 | 1.22 Mn |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | 964,676.00 |
| Mar 31, 2025 | 1.15 Mn |
| Dec 31, 2024 | 878,871.00 |
| Sep 30, 2024 | 900,529.00 |
| Jun 30, 2024 | 1.04 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.42 Mn |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 952,391.00 |
| Dec 31, 2022 | 1.02 Mn |
| Sep 30, 2022 | 1.04 Mn |
| Jun 30, 2022 | 1.25 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 1.21 Mn |
| Sep 30, 2021 | 1.36 Mn |
| Jun 30, 2021 | 1.61 Mn |
API Access
Edesa Biotech Selling, General & Administrative 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=selling-general-and-administrative&ticker=EDSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EDSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();