TOP Financial (TOP) Operating Expenses (2025 - 2026)
TOP Financial (TOP) reported Operating Expenses of $1.46 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 17.3% from $1.25 million a year earlier.
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Analysis
TOP Financial (TOP) Operating Expenses (2025 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), TOP Financial posted Operating Expenses of $5.9 million, down 35.5% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of -12.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $9.15 million in FY2025 (+29.8%), $7.05 million in FY2024 (+12.5%), $6.27 million in FY2023 (+47.8%) and $4.24 million in FY2022 (-64.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 102.58 Bn | 83.68 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 97.58 Bn | 36.95 Bn | - | 3.44 Bn |
| 3 | Cme | 97.02 Bn | 97.02 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 51.81 Bn | 49.24 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.44 Bn | 48.44 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 40.12 Bn | 33.58 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.23 Bn | 31.23 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 29.16 Bn | 20.81 Bn | 731.60 Mn | 255.60 Mn |
| 10 | TOP Financial | 135.63 Mn | 22.12 Mn | - | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Mn |
| Sep 30, 2025 | 1.43 Mn |
| Jun 30, 2025 | 1.25 Mn |
API Access
TOP Financial 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=TOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TOP", "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=TOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();