TherapeuticsMD (TXMD) Shares Outstanding (2009 - 2026)
TherapeuticsMD (TXMD) recorded Weighted Average Shares Outstanding of 11.57 million in Q2 2026, unchanged from 11.57 million a year earlier and unchanged from the prior quarter.
TherapeuticsMD (TXMD) Shares Outstanding (2009 - 2026) Analysis & Trends
Starting with Q2 2010, TherapeuticsMD's Weighted Average Shares Outstanding history includes 65 quarters.
- Annual Weighted Average Shares Outstanding has increased for three straight years, though with a five-year compound annual growth rate of -47.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 11.53 million in FY2024 (+10.4%), 10.44 million in FY2023 (+15.7%), 9.03 million in FY2022 (-97.7%) and 397.99 million in FY2021 (+44.4%).
- Quarterly Weighted Average Shares Outstanding has ranged from 8.61 million in Q1 2022 to 422.22 million in Q3 2021 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding rose in seven of the last eight quarters, with growth averaging 2.4%.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 54.9% in Q3 2021, against a decline of 97.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 11.57 million (Q1 2026), 11.57 million (Q4 2025) and 11.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 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 | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | TherapeuticsMD | 20.14 Mn | -12.07 Mn | - | 11.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.57 Mn |
| Mar 31, 2026 | 11.57 Mn |
| Dec 31, 2025 | 11.57 Mn |
| Sep 30, 2025 | 11.57 Mn |
| Jun 30, 2025 | 11.57 Mn |
| Mar 31, 2025 | 11.55 Mn |
| Dec 31, 2024 | 11.53 Mn |
| Sep 30, 2024 | 11.53 Mn |
| Jun 30, 2024 | 11.53 Mn |
| Mar 31, 2024 | 11.53 Mn |
| Dec 31, 2023 | 10.44 Mn |
| Sep 30, 2023 | 10.70 Mn |
| Jun 30, 2023 | 10.22 Mn |
| Mar 31, 2023 | 9.75 Mn |
| Dec 31, 2022 | 9.26 Mn |
| Sep 30, 2022 | 9.26 Mn |
| Jun 30, 2022 | 8.75 Mn |
| Mar 31, 2022 | 8.61 Mn |
| Dec 31, 2021 | 397.99 Mn |
| Sep 30, 2021 | 422.22 Mn |
TherapeuticsMD Shares Outstanding 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&ticker=TXMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "TXMD", "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&ticker=TXMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();