Relmada Therapeutics (RLMD) Shares Outstanding (Entity) (2012 - 2026)
Relmada Therapeutics (RLMD) recorded Shares Outstanding (Entity) of 106.67 million in Q2 2026, up 221.4% from 33.19 million a year earlier and up 23.2% from the prior quarter.
Relmada Therapeutics (RLMD) Shares Outstanding (Entity) (2012 - 2026) Analysis & Trends
For FY2025, Relmada Therapeutics reported Shares Outstanding (Entity) of 39.48 million, up 30.8% from FY2024.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 30.17 million in FY2024 (+0.2%), 30.1 million in FY2023 (unchanged), 30.1 million in FY2022 (+71.5%) and 17.55 million in FY2021 (+7.5%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Entity) in data going back to Q3 2012.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for ten consecutive quarters, with growth averaging 55.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.0% (Q4 2023) to 221.4% (Q2 2026).
- 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 (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.60 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 253.35 Mn |
| 10 | Relmada Therapeutics | 402.15 Mn | 402.15 Mn | - | 106.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.67 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 | 33.19 Mn |
| Dec 31, 2024 | 30.17 Mn |
| Sep 30, 2024 | 30.17 Mn |
| Jun 30, 2024 | 30.17 Mn |
| Mar 31, 2024 | 30.17 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 | 30.10 Mn |
| Sep 30, 2022 | 28.64 Mn |
| Jun 30, 2022 | 30.02 Mn |
| Dec 31, 2021 | 17.55 Mn |
| Sep 30, 2021 | 17.50 Mn |
| Jun 30, 2021 | 17.47 Mn |
Relmada Therapeutics Shares Outstanding (Entity) 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-entity&ticker=RLMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=RLMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();