Relmada Therapeutics (RLMD) Shares Outstanding (Diluted) (2014 - 2026)
Relmada Therapeutics (RLMD) recorded Weighted Average Shares Outstanding (Diluted) of 112.38 million in Q2 2026, up 238.6% from 33.19 million a year earlier and up 29.8% from the prior quarter.
Relmada Therapeutics (RLMD) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Relmada Therapeutics reported Weighted Average Shares Outstanding (Diluted) of 39.48 million, up 30.9% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 67.3% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 30.16 million in FY2024 (+0.2%), 30.1 million in FY2023 (+1.6%), 29.63 million in FY2022 (+68.8%) and 17.55 million in FY2021 (+483.3%).
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2014.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 22 consecutive quarters, with growth averaging 59.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.1% (Q1 2024) to 483.3% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at 86.6 million (Q1 2026), 39.48 million (Q4 2025) and 33.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Relmada Therapeutics | 455.48 Mn | -103.11 Mn | - | 112.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.38 Mn |
| Mar 31, 2026 | 86.60 Mn |
| Dec 31, 2025 | 39.48 Mn |
| Sep 30, 2025 | 33.19 Mn |
| Jun 30, 2025 | 33.19 Mn |
| Mar 31, 2025 | 30.41 Mn |
| Dec 31, 2024 | 30.16 Mn |
| Sep 30, 2024 | 30.17 Mn |
| Jun 30, 2024 | 30.17 Mn |
| Mar 31, 2024 | 30.13 Mn |
| Dec 31, 2023 | 30.10 Mn |
| Sep 30, 2023 | 30.10 Mn |
| Jun 30, 2023 | 30.10 Mn |
| Mar 31, 2023 | 30.10 Mn |
| Dec 31, 2022 | 29.63 Mn |
| Sep 30, 2022 | 30.06 Mn |
| Jun 30, 2022 | 29.94 Mn |
| Mar 31, 2022 | 28.39 Mn |
| Dec 31, 2021 | 17.55 Mn |
| Sep 30, 2021 | 17.48 Mn |
Relmada Therapeutics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=RLMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();