Jefferies Financial (JEF) Change in Accured Expenses (2009 - 2026)
Jefferies Financial (JEF) recorded Change in Accured Expenses of $409.47 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 21.4% from $337.36 million a year earlier but down 49.6% from the prior quarter.
Jefferies Financial (JEF) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Jefferies Financial's Change in Accured Expenses came in at $833.45 million as of Aug 31, 2026; for FY2025 (ended Nov 30, 2025), it was $315.19 million, down 65.9% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -23.2% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $925.01 million in FY2024, -$318.8 million in FY2023, -$715.43 million in FY2022 and $527.91 million in FY2021 (-55.2%).
- Quarterly Change in Accured Expenses has ranged from -$1.6 billion in fiscal Q1 2022 to $811.78 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in five of the last six quarters, with growth averaging 194.9%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 931.1% in fiscal Q4 2024, against a decline of 88.0% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $811.78 million (Q2 2026), -$1.14 billion (Q1 2026) and $747.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.28 Bn | 98.38 Bn | - | -70.30 Mn |
| 2 | Intercontinental Exchange | 91.83 Bn | 85.57 Bn | - | -77.00 Mn |
| 3 | Robinhood Markets | 86.46 Bn | 67.50 Bn | - | 67.00 Mn |
| 4 | Nasdaq | 57.61 Bn | 55.05 Bn | 1.48 Bn | 79.00 Mn |
| 5 | Interactive Brokers | 36.32 Bn | 13.44 Bn | - | 364.00 Mn |
| 6 | Cboe Global Markets | 35.27 Bn | 26.92 Bn | 731.60 Mn | 69.70 Mn |
| 7 | Tradeweb Markets | 26.01 Bn | 18.02 Bn | - | 49.37 Mn |
| 8 | LPL Financial Holdings | 25.01 Bn | 20.33 Bn | - | 55.29 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.17 Bn | 288.85 Mn | 133.37 Mn |
| 10 | Jefferies Financial | 8.82 Bn | -48.39 Bn | 3.21 Bn | 409.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 409.47 Mn |
| May 31, 2026 | 811.78 Mn |
| Feb 28, 2026 | -1.14 Bn |
| Nov 30, 2025 | 747.91 Mn |
| Aug 31, 2025 | 337.36 Mn |
| May 31, 2025 | 427.61 Mn |
| Feb 28, 2025 | -1.20 Bn |
| Nov 30, 2024 | 473.65 Mn |
| Aug 31, 2024 | 165.38 Mn |
| May 31, 2024 | 657.02 Mn |
| Feb 29, 2024 | -371.04 Mn |
| Nov 30, 2023 | 45.94 Mn |
| Aug 31, 2023 | 108.08 Mn |
| May 31, 2023 | 291.04 Mn |
| Feb 28, 2023 | -763.85 Mn |
| Nov 30, 2022 | 384.21 Mn |
| Aug 31, 2022 | 187.49 Mn |
| May 31, 2022 | 314.08 Mn |
| Feb 28, 2022 | -1.60 Bn |
| Nov 30, 2021 | 225.22 Mn |
Jefferies Financial Change in Accured 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=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "JEF", "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=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();