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.
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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 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Teamshares | 404.33 Mn | 401.13 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_KEYimport 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();