Tg Therapeutics (TGTX) Shares Outstanding (Diluted) (2020 - 2026)
Tg Therapeutics (TGTX) posted Shares Outstanding (Diluted) of 157.28 million for Q2 2026, down 3.2% from 162.56 million a year earlier and down 1.7% from the prior quarter.
Tg Therapeutics (TGTX) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Tg Therapeutics' Shares Outstanding (Diluted) came in at 161.41 million, up 0.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Tg Therapeutics' Shares Outstanding (Diluted) was 160.34 million in FY2024 (+8.0%), 148.51 million in FY2023 (+9.7%), 135.41 million in FY2022 (+2.4%) and 132.22 million in FY2021 (+14.6%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q1 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 2.5%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2023, with growth of 15.2%; the weakest was Q2 2026, with a decline of 3.2%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 160.06 million (Q1 2026), 161.41 million (Q4 2025) and 161 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Tg Therapeutics | 8.31 Bn | 7.70 Bn | 199.14 Mn | 157.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.28 Mn |
| Mar 31, 2026 | 160.06 Mn |
| Dec 31, 2025 | 161.41 Mn |
| Sep 30, 2025 | 161.00 Mn |
| Jun 30, 2025 | 162.56 Mn |
| Mar 31, 2025 | 162.77 Mn |
| Dec 31, 2024 | 160.34 Mn |
| Sep 30, 2024 | 160.71 Mn |
| Jun 30, 2024 | 159.42 Mn |
| Mar 31, 2024 | 146.21 Mn |
| Dec 31, 2023 | 148.51 Mn |
| Sep 30, 2023 | 155.87 Mn |
| Jun 30, 2023 | 141.50 Mn |
| Mar 31, 2023 | 140.31 Mn |
| Dec 31, 2022 | 135.41 Mn |
| Sep 30, 2022 | 135.33 Mn |
| Jun 30, 2022 | 134.78 Mn |
| Mar 31, 2022 | 134.40 Mn |
| Dec 31, 2021 | 132.22 Mn |
| Sep 30, 2021 | 132.35 Mn |
Tg 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=TGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TGTX", "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=TGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();