InMed Pharmaceuticals (INM) Operating Expenses (2019 - 2026)
InMed Pharmaceuticals' Operating Expenses came in at $4.86 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 160.5% from $1.87 million a year earlier and up 71.2% from the prior quarter.
InMed Pharmaceuticals (INM) Operating Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), InMed Pharmaceuticals' Operating Expenses was $11.61 million, up 37.0% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $8.47 million in FY2025 (-8.8%), $9.3 million in FY2024 (-5.4%), $9.83 million in FY2023 (-44.8%) and $17.81 million in FY2022 (+79.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses since fiscal Q4 2022.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with growth averaging 21.7%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2026 (growth of 160.5%), and the weakest in fiscal Q4 2023 (a decline of 69.6%).
- Business Quant data shows INM's Operating Expenses at $2.84 million (Q3 2026), $2.29 million (Q2 2026) and $2.22 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 99.60 Mn |
| 10 | InMed Pharmaceuticals | 5.66 Mn | 3.46 Mn | - | 4.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.86 Mn |
| Mar 31, 2026 | 2.84 Mn |
| Dec 31, 2025 | 2.29 Mn |
| Sep 30, 2025 | 2.22 Mn |
| Jun 30, 2025 | 1.87 Mn |
| Mar 31, 2025 | 2.08 Mn |
| Dec 31, 2024 | 2.71 Mn |
| Sep 30, 2024 | 2.23 Mn |
| Jun 30, 2024 | 2.50 Mn |
| Mar 31, 2024 | 2.13 Mn |
| Dec 31, 2023 | 1.97 Mn |
| Sep 30, 2023 | 2.69 Mn |
| Jun 30, 2023 | 2.06 Mn |
| Mar 31, 2023 | 2.34 Mn |
| Dec 31, 2022 | 2.35 Mn |
| Sep 30, 2022 | 3.08 Mn |
| Jun 30, 2022 | 6.77 Mn |
| Mar 31, 2022 | 3.72 Mn |
| Dec 31, 2021 | 4.42 Mn |
| Sep 30, 2021 | 2.89 Mn |
InMed Pharmaceuticals 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=INM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INM", "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=INM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();