Jefferies Financial (JEF) Interest Expenses (2009 - 2026)
Jefferies Financial (JEF) posted Interest Expenses of $2.77 billion for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 6.7% from $2.6 billion a year earlier and up 57.1% from the prior quarter.
Jefferies Financial (JEF) Interest Expenses (2009 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Jefferies Financial's Interest Expenses came in at $3.48 billion, unchanged from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 27.6% (FY2020 to FY2025).
- In prior fiscal years, Jefferies Financial's Interest Expenses was $3.48 billion in FY2024 (+27.0%), $2.74 billion in FY2023 (+134.2%), $1.17 billion in FY2022 (+25.6%) and $931.64 million in FY2021 (-9.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Interest Expenses in data going back to fiscal Q2 2009.
- On a year-over-year basis, Interest Expenses increased in six of the last eight quarters, with growth averaging 39.4%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q1 2022, with growth of 980.0%; the weakest was fiscal Q4 2022, with a decline of 57.6%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $1.77 billion (Q2 2026), $854.14 million (Q1 2026) and $879.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 107.43 Bn | 95.53 Bn | - | 43.60 Mn |
| 2 | Robinhood Markets | 91.35 Bn | 72.38 Bn | - | 159.00 Mn |
| 3 | Intercontinental Exchange | 89.72 Bn | 83.45 Bn | - | 205.00 Mn |
| 4 | Nasdaq | 54.11 Bn | 51.54 Bn | 1.50 Bn | 86.00 Mn |
| 5 | Interactive Brokers | 37.93 Bn | 15.04 Bn | - | 1.18 Bn |
| 6 | Cboe Global Markets | 33.33 Bn | 24.98 Bn | 731.60 Mn | 13.20 Mn |
| 7 | LPL Financial Holdings | 25.72 Bn | 21.04 Bn | - | 101.50 Mn |
| 8 | Tradeweb Markets | 25.54 Bn | 17.55 Bn | - | 505,000.00 |
| 9 | Circle Internet | 22.33 Bn | 16.21 Bn | 288.85 Mn | - |
| 10 | Jefferies Financial | 8.93 Bn | -48.28 Bn | 3.21 Bn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 1.01 Bn |
| May 31, 2026 | 911.75 Mn |
| Feb 28, 2026 | 854.14 Mn |
| Nov 30, 2025 | 879.97 Mn |
| Aug 31, 2025 | 860.24 Mn |
| May 31, 2025 | 859.87 Mn |
| Feb 28, 2025 | 879.85 Mn |
| Nov 30, 2024 | 894.64 Mn |
| Aug 31, 2024 | 912.04 Mn |
| May 31, 2024 | 859.85 Mn |
| Feb 29, 2024 | 813.74 Mn |
| Nov 30, 2023 | 771.53 Mn |
| Aug 31, 2023 | 858.81 Mn |
| May 31, 2023 | 613.57 Mn |
| Feb 28, 2023 | 497.07 Mn |
| Nov 30, 2022 | 369.82 Mn |
| Aug 31, 2022 | 322.26 Mn |
| May 31, 2022 | 258.38 Mn |
| Feb 28, 2022 | 219.97 Mn |
| Nov 30, 2021 | 871.81 Mn |
Jefferies Financial Interest 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=interest-expenses&ticker=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();