Jefferies Financial (JEF) Treasury Shares (2009 - 2026)
Jefferies Financial's Treasury Shares came in at 132.04 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 15.0% from 114.84 million a year earlier and up 4.0% from the prior quarter.
Jefferies Financial (JEF) Treasury Shares (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Jefferies Financial's Treasury Shares was 114.82 million, down 0.7% from FY2024.
- Treasury Shares carries a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- Going back by fiscal year, Treasury Shares was 115.61 million in FY2024 (+4.6%), 110.49 million in FY2023 (+22.3%), 90.33 million in FY2022 (+23.9%) and 72.92 million in FY2021 (+9.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Treasury Shares in data going back to fiscal Q2 2009.
- Year-over-year, Treasury Shares has increased for three consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- The fastest year-over-year change in Treasury Shares over five years came in fiscal Q3 2023 (growth of 26.3%), and the weakest in fiscal Q4 2025 (a decline of 0.7%).
- Business Quant data shows JEF's Treasury Shares at 126.97 million (Q2 2026), 116.7 million (Q1 2026) and 114.82 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 94.00 Mn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 25.53 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 617,110.00 |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 389,420.00 |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 57.66 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 4.60 Mn |
| 10 | Jefferies Financial | 8.93 Bn | -48.28 Bn | 3.21 Bn | 132.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 132.04 Mn |
| May 31, 2026 | 126.97 Mn |
| Feb 28, 2026 | 116.70 Mn |
| Nov 30, 2025 | 114.82 Mn |
| Aug 31, 2025 | 114.84 Mn |
| May 31, 2025 | 114.85 Mn |
| Feb 28, 2025 | 114.87 Mn |
| Nov 30, 2024 | 115.61 Mn |
| Aug 31, 2024 | 115.62 Mn |
| May 31, 2024 | 109.06 Mn |
| Feb 29, 2024 | 109.12 Mn |
| Nov 30, 2023 | 110.49 Mn |
| Aug 31, 2023 | 110.69 Mn |
| May 31, 2023 | 89.71 Mn |
| Feb 28, 2023 | 87.59 Mn |
| Nov 30, 2022 | 90.33 Mn |
| Aug 31, 2022 | 87.66 Mn |
| May 31, 2022 | 84.14 Mn |
| Feb 28, 2022 | 76.29 Mn |
| Nov 30, 2021 | 72.92 Mn |
Jefferies Financial Treasury Shares 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=treasury-shares&ticker=JEF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();