Jefferies Financial (JEF) Cost of Revenue (2009 - 2026)
Jefferies Financial's Cost of Revenue came in at $22.92 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), down 33.4% from $34.43 million a year earlier and down 26.7% from the prior quarter.
Jefferies Financial (JEF) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Jefferies Financial reported Cost of Revenue of $156.07 million, down 27.6% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $190.93 million, down 7.4% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $206.28 million in FY2024 (+600.8%), $29.44 million in FY2023 (-93.3%), $440.84 million in FY2022 (-6.4%) and $470.87 million in FY2021 (+39.1%).
- The fiscal Q3 2026 figure represents the lowest quarterly Cost of Revenue since fiscal Q3 2023.
- Year-over-year, Cost of Revenue has declined for five consecutive quarters, with growth averaging 28.5% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2024 (growth of 315.5%), and the weakest in fiscal Q3 2023 (a decline of 98.7%).
- Business Quant data shows JEF's Cost of Revenue at $31.25 million (Q2 2026), $29.92 million (Q1 2026) and $71.98 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | - |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 1.03 Bn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 711.20 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 412.47 Mn |
| 10 | Jefferies Financial | 8.93 Bn | -48.28 Bn | 3.21 Bn | 22.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 22.92 Mn |
| May 31, 2026 | 31.25 Mn |
| Feb 28, 2026 | 29.92 Mn |
| Nov 30, 2025 | 71.98 Mn |
| Aug 31, 2025 | 34.43 Mn |
| May 31, 2025 | 42.96 Mn |
| Feb 28, 2025 | 41.57 Mn |
| Nov 30, 2024 | 96.75 Mn |
| Aug 31, 2024 | 37.40 Mn |
| May 31, 2024 | 37.46 Mn |
| Feb 29, 2024 | 34.67 Mn |
| Nov 30, 2023 | 23.29 Mn |
| Aug 31, 2023 | 1.62 Mn |
| May 31, 2023 | 2.36 Mn |
| Feb 28, 2023 | 2.17 Mn |
| Nov 30, 2022 | 91.28 Mn |
| Aug 31, 2022 | 123.44 Mn |
| May 31, 2022 | 130.45 Mn |
| Feb 28, 2022 | 95.67 Mn |
| Nov 30, 2021 | 79.95 Mn |
Jefferies Financial Cost of Revenue 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=cost-of-revenue&ticker=JEF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=JEF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();