Jefferies Financial (JEF) Cash & Equivalents (2009 - 2026)
Jefferies Financial's Cash & Equivalents was $16.88 billion in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 47.3% from $11.46 billion a year earlier and up 17.9% from the prior quarter.
Jefferies Financial (JEF) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Cash & Equivalents at Jefferies Financial came in at $14.04 billion, up 15.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $12.15 billion in FY2024 (+42.5%), $8.53 billion in FY2023 (-12.1%), $9.7 billion in FY2022 (-9.8%) and $10.76 billion in FY2021 (+18.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2009.
- Compared with a year earlier, Cash & Equivalents has increased for 11 straight quarters, with growth averaging 24.8% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2026 (growth of 47.3%); the worst was fiscal Q4 2023 (a decline of 12.1%).
- Per Business Quant data, JEF's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $14.31 billion (Q2 2026), $11.96 billion (Q1 2026) and $14.04 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 110.43 Bn | 98.52 Bn | - | 2.14 Bn |
| 2 | Intercontinental Exchange | 92.22 Bn | 85.96 Bn | - | 1.07 Bn |
| 3 | Robinhood Markets | 86.78 Bn | 67.81 Bn | - | 5.36 Bn |
| 4 | Nasdaq | 58.09 Bn | 55.52 Bn | 1.50 Bn | 520.00 Mn |
| 5 | Interactive Brokers | 36.85 Bn | 13.96 Bn | - | 7.71 Bn |
| 6 | Cboe Global Markets | 34.46 Bn | 26.11 Bn | 731.60 Mn | 2.28 Bn |
| 7 | Tradeweb Markets | 25.89 Bn | 17.90 Bn | - | 2.06 Bn |
| 8 | LPL Financial Holdings | 25.45 Bn | 20.77 Bn | - | 1.28 Bn |
| 9 | Circle Internet | 21.46 Bn | 15.33 Bn | 288.85 Mn | 1.73 Bn |
| 10 | Jefferies Financial | 9.03 Bn | -48.18 Bn | 3.21 Bn | 16.88 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 16.88 Bn |
| May 31, 2026 | 14.31 Bn |
| Feb 28, 2026 | 11.96 Bn |
| Nov 30, 2025 | 14.04 Bn |
| Aug 31, 2025 | 11.46 Bn |
| May 31, 2025 | 11.26 Bn |
| Feb 28, 2025 | 11.18 Bn |
| Nov 30, 2024 | 12.15 Bn |
| Aug 31, 2024 | 10.57 Bn |
| May 31, 2024 | 10.84 Bn |
| Feb 29, 2024 | 7.62 Bn |
| Nov 30, 2023 | 8.53 Bn |
| Aug 31, 2023 | 8.82 Bn |
| May 31, 2023 | 8.00 Bn |
| Feb 28, 2023 | 7.51 Bn |
| Nov 30, 2022 | 9.70 Bn |
| Aug 31, 2022 | 9.48 Bn |
| May 31, 2022 | 8.52 Bn |
| Feb 28, 2022 | 8.50 Bn |
| Nov 30, 2021 | 10.76 Bn |
Jefferies Financial Cash & Equivalents 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=cash-and-equivalents&ticker=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();