Tarsus Pharmaceuticals (TARS) Shares Outstanding (2019 - 2026)
Tarsus Pharmaceuticals' Weighted Average Shares Outstanding came in at 46.42 million for Q3 2026, up 9.0% from 42.61 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Tarsus Pharmaceuticals (TARS) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Tarsus Pharmaceuticals' Weighted Average Shares Outstanding was 41.78 million, up 11.1% from FY2024.
- Weighted Average Shares Outstanding has increased in each of the last six years, with a five-year compound annual growth rate of 46.4% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 37.6 million in FY2024 (+28.0%), 29.38 million in FY2023 (+19.3%), 24.62 million in FY2022 (+19.8%) and 20.55 million in FY2021 (+231.1%).
- The Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2019.
- Year-over-year, Weighted Average Shares Outstanding has increased for 25 consecutive quarters, with growth averaging 11.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 1.8% (Q1 2022) to 231.1% (Q4 2021).
- Business Quant data shows TARS's Weighted Average Shares Outstanding at 43.39 million (Q2 2026), 42.96 million (Q1 2026) and 41.78 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
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 | Tarsus Pharmaceuticals | 3.64 Bn | 2.07 Bn | 180.68 Mn | 46.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.42 Mn |
| Jun 30, 2026 | 43.39 Mn |
| Mar 31, 2026 | 42.96 Mn |
| Dec 31, 2025 | 41.78 Mn |
| Sep 30, 2025 | 42.61 Mn |
| Jun 30, 2025 | 42.36 Mn |
| Mar 31, 2025 | 39.35 Mn |
| Dec 31, 2024 | 37.60 Mn |
| Sep 30, 2024 | 38.38 Mn |
| Jun 30, 2024 | 37.82 Mn |
| Mar 31, 2024 | 35.30 Mn |
| Dec 31, 2023 | 29.38 Mn |
| Sep 30, 2023 | 30.62 Mn |
| Jun 30, 2023 | 26.82 Mn |
| Mar 31, 2023 | 26.74 Mn |
| Dec 31, 2022 | 24.62 Mn |
| Sep 30, 2022 | 26.66 Mn |
| Jun 30, 2022 | 24.33 Mn |
| Mar 31, 2022 | 20.71 Mn |
| Dec 31, 2021 | 20.55 Mn |
API Access
Tarsus Pharmaceuticals 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=TARS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "TARS", "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=TARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();