Jefferies Financial (JEF) Operating Expenses (2009 - 2026)
Jefferies Financial (JEF) reported Operating Expenses of $1.87 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 9.1% from $1.72 billion a year earlier but down 1.1% from the prior quarter.
Jefferies Financial (JEF) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Jefferies Financial's Operating Expenses came in at $7.38 billion, up 17.0% year-over-year; for FY2025 (ended Nov 30, 2025), it was $6.47 billion, up 7.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $6.03 billion in FY2024 (+38.7%), $4.35 billion in FY2023 (-11.7%), $4.92 billion in FY2022 (-14.5%) and $5.76 billion in FY2021 (+20.4%).
- Five-year quarterly Operating Expenses spans a low of $1.02 billion in fiscal Q2 2023 and a high of $1.89 billion in fiscal Q2 2026.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 17.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2024 (growth of 48.8%); the low point was fiscal Q1 2022 (a decline of 22.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.89 billion (Q2 2026), $1.8 billion (Q1 2026) and $1.82 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 255.60 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 4.67 Bn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 313.68 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Jefferies Financial | 8.93 Bn | -48.28 Bn | 3.21 Bn | 1.87 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.87 Bn |
| May 31, 2026 | 1.89 Bn |
| Feb 28, 2026 | 1.80 Bn |
| Nov 30, 2025 | 1.82 Bn |
| Aug 31, 2025 | 1.72 Bn |
| May 31, 2025 | 1.50 Bn |
| Feb 28, 2025 | 1.44 Bn |
| Nov 30, 2024 | 1.65 Bn |
| Aug 31, 2024 | 1.43 Bn |
| May 31, 2024 | 1.43 Bn |
| Feb 29, 2024 | 1.52 Bn |
| Nov 30, 2023 | 1.11 Bn |
| Aug 31, 2023 | 1.09 Bn |
| May 31, 2023 | 1.02 Bn |
| Feb 28, 2023 | 1.13 Bn |
| Nov 30, 2022 | 1.24 Bn |
| Aug 31, 2022 | 1.21 Bn |
| May 31, 2022 | 1.17 Bn |
| Feb 28, 2022 | 1.30 Bn |
| Nov 30, 2021 | 1.27 Bn |
Jefferies Financial 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=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();