Teamshares (TMS) Selling, General & Administrative (2025 - 2026)
Teamshares' Selling, General & Administrative came in at $55.26 million for Q2 2026, up 16.8% from $47.33 million a year earlier.
Teamshares (TMS) Selling, General & Administrative (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Teamshares reported Selling, General & Administrative of $57.98 million; for FY2025, it came in at $2.21 million.
- Going back by year, Selling, General & Administrative was $18,571 in FY2024.
- Business Quant data shows TMS's Selling, General & Administrative at $966,218 (Q1 2026), $1.41 million (Q4 2025) and $339,323 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | - |
| 10 | Teamshares | 414.26 Mn | 411.05 Mn | 61.42 Mn | 55.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.26 Mn |
| Mar 31, 2026 | 966,218.00 |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 339,323.00 |
| Jun 30, 2025 | 47.33 Mn |
| Mar 31, 2025 | 121,696.00 |
Teamshares Selling, General & Administrative 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=selling-general-and-administrative&ticker=TMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();