Teamshares (TMS) Shares Outstanding (Diluted) (2024 - 2026)
Teamshares' Weighted Average Shares Outstanding (Diluted) was 55.43 million in Q2 2026, up 141.0% from 23 million a year earlier and up 92.8% from the prior quarter.
Teamshares (TMS) Shares Outstanding (Diluted) (2024 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Teamshares came in at 19.16 million, up 283.1% from FY2024.
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 5 million in FY2024.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for three straight quarters.
- Per Business Quant data, TMS's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 28.75 million (Q1 2026), 19.16 million (Q4 2025) and 23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn | 358.64 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - | 686.91 Mn |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn | 563.00 Mn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - | 911.00 Mn |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn | 563.31 Mn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - | 279.29 Mn |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn | 104.70 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - | 453.92 Mn |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - | 183.17 Mn |
| 10 | Teamshares | 299.33 Mn | 139.41 Mn | 61.42 Mn | 55.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.43 Mn |
| Mar 31, 2026 | 28.75 Mn |
| Dec 31, 2025 | 19.16 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 12.65 Mn |
| Dec 31, 2024 | 5.00 Mn |
Teamshares 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=TMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TMS", "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=TMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();