Jefferies Financial (JEF) Total Liabilities (2009 - 2026)
Jefferies Financial (JEF) recorded Total Liabilities of $70.55 billion in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 19.9% from $58.82 billion a year earlier and up 2.3% from the prior quarter.
Jefferies Financial (JEF) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Jefferies Financial reported Total Liabilities of $65.37 billion, up 20.8% from FY2024.
- Annual Total Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $54.14 billion in FY2024 (+12.5%), $48.1 billion in FY2023 (+18.0%), $40.76 billion in FY2022 (-10.5%) and $45.53 billion in FY2021 (+4.2%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities in data going back to fiscal Q2 2009.
- On a year-over-year basis, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 21.1% in fiscal Q2 2026, against a decline of 14.7% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $68.93 billion (Q2 2026), $63.72 billion (Q1 2026) and $65.37 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.34 Bn | 97.67 Bn | - | 165.53 Bn |
| 2 | Bank of New York Mellon | 103.32 Bn | 36.94 Bn | - | 449.94 Bn |
| 3 | Intercontinental Exchange | 97.84 Bn | 90.74 Bn | - | 147.08 Bn |
| 4 | Robinhood Markets | 73.91 Bn | 53.45 Bn | - | 48.19 Bn |
| 5 | Nasdaq | 60.30 Bn | 57.74 Bn | 1.48 Bn | 15.38 Bn |
| 6 | State Street | 47.09 Bn | 47.09 Bn | - | - |
| 7 | Cboe Global Markets | 37.14 Bn | 27.62 Bn | 712.20 Mn | 5.30 Bn |
| 8 | Interactive Brokers | 35.28 Bn | 11.58 Bn | - | 219.98 Bn |
| 9 | Northern Trust | 32.35 Bn | 32.35 Bn | - | 153.91 Bn |
| 10 | Jefferies Financial | 9.61 Bn | -47.59 Bn | 3.21 Bn | 70.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 70.55 Bn |
| May 31, 2026 | 68.93 Bn |
| Feb 28, 2026 | 63.72 Bn |
| Nov 30, 2025 | 65.37 Bn |
| Aug 31, 2025 | 58.82 Bn |
| May 31, 2025 | 56.90 Bn |
| Feb 28, 2025 | 59.95 Bn |
| Nov 30, 2024 | 54.14 Bn |
| Aug 31, 2024 | 53.16 Bn |
| May 31, 2024 | 53.05 Bn |
| Feb 29, 2024 | 51.07 Bn |
| Nov 30, 2023 | 48.10 Bn |
| Aug 31, 2023 | 46.28 Bn |
| May 31, 2023 | 43.97 Bn |
| Feb 28, 2023 | 42.22 Bn |
| Nov 30, 2022 | 40.76 Bn |
| Aug 31, 2022 | 44.87 Bn |
| May 31, 2022 | 46.85 Bn |
| Feb 28, 2022 | 49.49 Bn |
| Nov 30, 2021 | 45.53 Bn |
Jefferies Financial Total Liabilities 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=total-liabilities&ticker=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();