Relmada Therapeutics (RLMD) Operating Expenses (2012 - 2026)
Relmada Therapeutics (RLMD) reported Operating Expenses of $15.01 million for Q2 2026, up 46.9% from $10.22 million a year earlier but down 22.9% from the prior quarter.
Relmada Therapeutics (RLMD) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Relmada Therapeutics' Operating Expenses came in at $65.13 million, down 7.6% year-over-year; for FY2025, it was $59.1 million, down 29.6% from FY2024.
- Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $83.89 million in FY2024 (-19.1%), $103.7 million in FY2023 (-35.7%), $161.25 million in FY2022 (+28.3%) and $125.7 million in FY2021 (+106.6%).
- Five-year quarterly Operating Expenses spans a low of $10.22 million in Q2 2025 and a high of $45.51 million in Q2 2022.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with an average decline of 11.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 148.2%); the low point was Q3 2025 (a decline of 55.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.46 million (Q1 2026), $20.33 million (Q4 2025) and $10.33 million (Q3 2025).
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 | Relmada Therapeutics | 404.28 Mn | 404.28 Mn | - | 15.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.01 Mn |
| Mar 31, 2026 | 19.46 Mn |
| Dec 31, 2025 | 20.33 Mn |
| Sep 30, 2025 | 10.33 Mn |
| Jun 30, 2025 | 10.22 Mn |
| Mar 31, 2025 | 18.22 Mn |
| Dec 31, 2024 | 19.08 Mn |
| Sep 30, 2024 | 23.01 Mn |
| Jun 30, 2024 | 18.82 Mn |
| Mar 31, 2024 | 22.99 Mn |
| Dec 31, 2023 | 26.83 Mn |
| Sep 30, 2023 | 22.69 Mn |
| Jun 30, 2023 | 26.03 Mn |
| Mar 31, 2023 | 28.15 Mn |
| Dec 31, 2022 | 38.70 Mn |
| Sep 30, 2022 | 38.74 Mn |
| Jun 30, 2022 | 45.51 Mn |
| Mar 31, 2022 | 38.30 Mn |
| Dec 31, 2021 | 34.18 Mn |
| Sep 30, 2021 | 42.65 Mn |
Relmada 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=RLMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RLMD", "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=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();