StoneX (SNEX) Operating Expenses (2010 - 2026)
StoneX (SNEX) posted Operating Expenses of $558.2 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 39.1% from $401.4 million a year earlier but down 6.9% from the prior quarter.
StoneX (SNEX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at StoneX was $2.17 billion, up 42.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.65 billion, up 16.0% from FY2024.
- Annual Operating Expenses has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In prior fiscal years, StoneX's Operating Expenses was $1.42 billion in FY2024 (+7.4%), $1.32 billion in FY2023 (+9.8%), $1.21 billion in FY2022 (+20.6%) and $999.3 million in FY2021 (+34.5%).
- Quarterly Operating Expenses has run from a low of $256.6 million in fiscal Q4 2021 to a high of $599.3 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 31 quarters, with growth averaging 25.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.8% in fiscal Q4 2023 to 53.6% in fiscal Q2 2026.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $599.3 million (Q2 2026), $539.1 million (Q1 2026) and $477 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 100.80 Bn | 100.80 Bn | - | 599.10 Mn |
| 2 | Robinhood Markets | 98.01 Bn | 79.10 Bn | - | 734.00 Mn |
| 3 | Bank of New York Mellon | 96.82 Bn | 36.20 Bn | - | 3.44 Bn |
| 4 | Intercontinental Exchange | 87.60 Bn | 81.41 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 52.63 Bn | 50.06 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 48.07 Bn | 48.07 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 39.59 Bn | 33.05 Bn | - | 440.00 Mn |
| 8 | Cboe Global Markets | 31.87 Bn | 23.53 Bn | 731.60 Mn | 255.60 Mn |
| 9 | Northern Trust | 30.78 Bn | 30.78 Bn | - | 1.64 Bn |
| 10 | StoneX | 7.35 Bn | -166.86 Mn | 1.47 Bn | 558.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.20 Mn |
| Mar 31, 2026 | 599.30 Mn |
| Dec 31, 2025 | 539.10 Mn |
| Sep 30, 2025 | 477.00 Mn |
| Jun 30, 2025 | 401.40 Mn |
| Mar 31, 2025 | 390.20 Mn |
| Dec 31, 2024 | 380.90 Mn |
| Sep 30, 2024 | 356.80 Mn |
| Jun 30, 2024 | 382.30 Mn |
| Mar 31, 2024 | 356.90 Mn |
| Dec 31, 2023 | 325.90 Mn |
| Sep 30, 2023 | 330.20 Mn |
| Jun 30, 2023 | 341.40 Mn |
| Mar 31, 2023 | 341.90 Mn |
| Dec 31, 2022 | 309.90 Mn |
| Sep 30, 2022 | 321.30 Mn |
| Jun 30, 2022 | 303.20 Mn |
| Mar 31, 2022 | 319.30 Mn |
| Dec 31, 2021 | 261.30 Mn |
| Sep 30, 2021 | 256.60 Mn |
StoneX 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=SNEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SNEX", "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=SNEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();