Jefferies Financial (JEF) Other Operating Expenses (2009 - 2026)
Jefferies Financial (JEF) reported Other Operating Expenses of $173.24 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 10.2% from $157.17 million a year earlier and up 6.4% from the prior quarter.
Jefferies Financial (JEF) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Jefferies Financial's Other Operating Expenses came in at $651.3 million, up 12.3% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $598.19 million, up 9.4% from FY2024.
- Other Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- By fiscal year, Other Operating Expenses came in at $546.66 million in FY2024 (+14.6%), $477.03 million in FY2023 (+7.4%), $444.01 million in FY2022 (+14.4%) and $388.13 million in FY2021 (+15.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Other Operating Expenses since fiscal Q4 2021.
- Year over year, Other Operating Expenses has now increased in each of the last 12 quarters, with growth averaging 10.8% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q1 2024 (growth of 21.3%); the low point was fiscal Q1 2022 (a decline of 92.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $162.86 million (Q2 2026), $159.86 million (Q1 2026) and $155.34 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - |
| 10 | Jefferies Financial | 9.61 Bn | -47.59 Bn | 3.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 144.01 Mn |
| May 31, 2026 | 153.71 Mn |
| Feb 28, 2026 | 197.06 Mn |
| Nov 30, 2025 | 166.89 Mn |
| Aug 31, 2025 | 139.54 Mn |
| May 31, 2025 | 150.55 Mn |
| Feb 28, 2025 | 158.85 Mn |
| Nov 30, 2024 | 147.09 Mn |
| Aug 31, 2024 | 111.59 Mn |
| May 31, 2024 | 110.14 Mn |
| Feb 29, 2024 | 141.55 Mn |
| Nov 30, 2023 | 108.19 Mn |
| Aug 31, 2023 | 98.78 Mn |
| May 31, 2023 | 94.55 Mn |
| Feb 28, 2023 | 90.41 Mn |
| Nov 30, 2022 | 142.03 Mn |
| Aug 31, 2022 | 186.02 Mn |
| May 31, 2022 | 121.08 Mn |
| Feb 28, 2022 | 89.34 Mn |
| Nov 30, 2021 | 885.41 Mn |
Jefferies Financial Other 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=other-operating-expenses&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();