Teamshares (TMS) Operating Expenses (2025 - 2026)
Teamshares' Operating Expenses was $58.42 million in Q2 2026, up 8.4% from $53.88 million a year earlier.
Analysis
Teamshares (TMS) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Teamshares' Operating Expenses was $61.14 million through Jun 30, 2026; for FY2025, it was $2.21 million.
- In earlier years, Operating Expenses was $18,571 in FY2024.
- Per Business Quant data, TMS's Operating Expenses in the three quarters before Q2 2026 was $966,218 (Q1 2026), $1.41 million (Q4 2025) and $339,323 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.71 Bn | 97.80 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 90.62 Bn | 84.36 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 90.30 Bn | 71.34 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 57.08 Bn | 54.51 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 37.98 Bn | 15.10 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 33.98 Bn | 25.63 Bn | 731.60 Mn | 255.60 Mn |
| 7 | Tradeweb Markets | 25.75 Bn | 17.76 Bn | - | 313.68 Mn |
| 8 | LPL Financial Holdings | 25.67 Bn | 20.99 Bn | - | 4.67 Bn |
| 9 | Circle Internet | 21.31 Bn | 15.19 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Teamshares | 281.31 Mn | 124.59 Mn | 61.42 Mn | 58.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.42 Mn |
| Mar 31, 2026 | 966,218.00 |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 339,323.00 |
| Jun 30, 2025 | 53.88 Mn |
| Mar 31, 2025 | 121,696.00 |
API Access
Teamshares Operating Expenses 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=operating-expenses&ticker=TMS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();