StoneX (SNEX) Change in Accrued Expenses (2010 - 2026)
StoneX (SNEX) posted Change in Accured Expenses of $9 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 81.1% from $47.7 million a year earlier and down 86.2% from the prior quarter.
StoneX (SNEX) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at StoneX was $117.2 million, up 155.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $108.4 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In prior fiscal years, StoneX's Change in Accured Expenses was -$5.3 million in FY2024, $82.5 million in FY2023 (-18.6%), $101.4 million in FY2022 (+184.0%) and $35.7 million in FY2021 (-16.4%).
- Quarterly Change in Accured Expenses has run from a low of -$87 million in fiscal Q1 2024 to a high of $125.6 million in fiscal Q2 2023 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with an average decline of 8.9%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q2 2023, with growth of 165.0%; the weakest was fiscal Q4 2021, with a decline of 97.7%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $65.3 million (Q2 2026), $6.3 million (Q1 2026) and $36.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 306.80 Mn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | - |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 99.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 49.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 79.00 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | -12.60 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 1.17 Bn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 37.50 Mn |
| 10 | StoneX | 6.29 Bn | -1.22 Bn | 1.47 Bn | 9.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.00 Mn |
| Mar 31, 2026 | 65.30 Mn |
| Dec 31, 2025 | 6.30 Mn |
| Sep 30, 2025 | 36.60 Mn |
| Jun 30, 2025 | 47.70 Mn |
| Mar 31, 2025 | 88.40 Mn |
| Dec 31, 2024 | -64.30 Mn |
| Sep 30, 2024 | -25.90 Mn |
| Jun 30, 2024 | 62.30 Mn |
| Mar 31, 2024 | 45.30 Mn |
| Dec 31, 2023 | -87.00 Mn |
| Sep 30, 2023 | 59.00 Mn |
| Jun 30, 2023 | -36.60 Mn |
| Mar 31, 2023 | 125.60 Mn |
| Dec 31, 2022 | -65.50 Mn |
| Sep 30, 2022 | 65.00 Mn |
| Jun 30, 2022 | 4.80 Mn |
| Mar 31, 2022 | 47.40 Mn |
| Dec 31, 2021 | -15.80 Mn |
| Sep 30, 2021 | 500,000.00 |
StoneX Change in Accrued 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=change-in-accured-expenses&ticker=SNEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SNEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();