TAO Synergies (TAOX) Shares Outstanding (Diluted) (2020 - 2026)
TAO Synergies (TAOX) posted Shares Outstanding (Diluted) of 7.47 million for Q2 2026, up 377.4% from 1.57 million a year earlier but down 2.9% from the prior quarter.
TAO Synergies (TAOX) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, TAO Synergies' Shares Outstanding (Diluted) came in at 3.3 million, up 167.5% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- In prior years, TAO Synergies' Shares Outstanding (Diluted) was 1.23 million in FY2024 (-89.4%), 11.65 million in FY2023 (+66.7%), 6.99 million in FY2022 (+39.4%) and 5.02 million in FY2021 (+298.8%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 1.04 million in Q1 2024 to a high of 11.65 million in Q4 2023 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last six quarters, with growth averaging 122.2% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2026, with growth of 452.7%; the weakest was Q4 2024, with a decline of 89.4%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 7.7 million (Q1 2026), 3.3 million (Q4 2025) and 2.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | TAO Synergies | 32.81 Mn | 32.81 Mn | - | 7.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.47 Mn |
| Mar 31, 2026 | 7.70 Mn |
| Dec 31, 2025 | 3.30 Mn |
| Sep 30, 2025 | 2.55 Mn |
| Jun 30, 2025 | 1.57 Mn |
| Mar 31, 2025 | 1.39 Mn |
| Dec 31, 2024 | 1.23 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 11.65 Mn |
| Sep 30, 2023 | 10.70 Mn |
| Jun 30, 2023 | 7.36 Mn |
| Mar 31, 2023 | 7.50 Mn |
| Dec 31, 2022 | 6.99 Mn |
| Sep 30, 2022 | 6.99 Mn |
| Jun 30, 2022 | 6.96 Mn |
| Mar 31, 2022 | 6.94 Mn |
| Dec 31, 2021 | 5.02 Mn |
| Sep 30, 2021 | 6.20 Mn |
TAO Synergies 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=TAOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TAOX", "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=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();