StoneX (SNEX) EBITDA (2010 - 2026)
StoneX (SNEX) recorded EBITDA of $936.7 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 46.9% from $637.8 million a year earlier but down 5.8% from the prior quarter.
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Analysis
StoneX (SNEX) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, StoneX's EBITDA came in at $3.6 billion as of Jun 30, 2026, up 51.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $2.54 billion, up 23.1% from FY2024.
- Annual EBITDA has increased for 16 straight fiscal years, with a five-year compound annual growth rate of 34.2% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $2.07 billion in FY2024 (+25.9%), $1.64 billion in FY2023 (+73.4%), $946.7 million in FY2022 (+33.3%) and $710.3 million in FY2021 (+21.5%).
- Quarterly EBITDA has ranged from $143.3 million in fiscal Q4 2021 to $994.4 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, EBITDA has increased for 23 consecutive quarters, with growth averaging 37.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in EBITDA ranged from 6.6% (fiscal Q2 2022) to 91.5% (fiscal Q4 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $994.4 million (Q2 2026), $924.1 million (Q1 2026) and $746.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 100.80 Bn | 100.80 Bn | - | 1.19 Bn |
| 2 | Robinhood Markets | 98.01 Bn | 79.10 Bn | - | 891.00 Mn |
| 3 | Bank of New York Mellon | 96.82 Bn | 36.20 Bn | - | 7.16 Bn |
| 4 | Intercontinental Exchange | 87.60 Bn | 81.41 Bn | - | 1.78 Bn |
| 5 | Nasdaq | 52.63 Bn | 50.06 Bn | 1.50 Bn | 877.00 Mn |
| 6 | State Street | 48.07 Bn | 48.07 Bn | - | 3.57 Bn |
| 7 | Interactive Brokers | 39.59 Bn | 33.05 Bn | - | 2.65 Bn |
| 8 | Cboe Global Markets | 31.87 Bn | 23.53 Bn | 731.60 Mn | 504.10 Mn |
| 9 | Northern Trust | 30.78 Bn | 30.78 Bn | - | 2.78 Bn |
| 10 | StoneX | 7.35 Bn | -166.86 Mn | 1.47 Bn | 937.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 937.20 Mn |
| Mar 31, 2026 | 996.00 Mn |
| Dec 31, 2025 | 925.60 Mn |
| Sep 30, 2025 | 748.20 Mn |
| Jun 30, 2025 | 638.90 Mn |
| Mar 31, 2025 | 582.50 Mn |
| Dec 31, 2024 | 580.00 Mn |
| Sep 30, 2024 | 578.10 Mn |
| Jun 30, 2024 | 549.00 Mn |
| Mar 31, 2024 | 474.70 Mn |
| Dec 31, 2023 | 471.00 Mn |
| Sep 30, 2023 | 460.70 Mn |
| Jun 30, 2023 | 450.80 Mn |
| Mar 31, 2023 | 377.20 Mn |
| Dec 31, 2022 | 358.80 Mn |
| Sep 30, 2022 | 275.40 Mn |
| Jun 30, 2022 | 238.60 Mn |
| Mar 31, 2022 | 237.90 Mn |
| Dec 31, 2021 | 199.30 Mn |
| Sep 30, 2021 | 144.30 Mn |
API Access
StoneX EBITDA 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=ebitda&ticker=SNEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SNEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();