Raymond James Financial (RJF) EBITDA (2009 - 2026)
Raymond James Financial's EBITDA was $1.24 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 17.3% from $1.06 billion a year earlier and up 4.3% from the prior quarter.
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Analysis
Raymond James Financial (RJF) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Raymond James Financial's EBITDA was $4.89 billion through Jun 30, 2026, up 0.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $4.76 billion, down 3.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 28.7% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $4.92 billion in FY2024 (+29.0%), $3.82 billion in FY2023 (+54.4%), $2.47 billion in FY2022 (+19.1%) and $2.08 billion in FY2021 (+53.8%).
- Quarterly EBITDA has moved between $505 million (fiscal Q2 2022) and $1.35 billion (fiscal Q4 2024) over five years.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 3.1%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2023 (growth of 121.4%); the worst was fiscal Q3 2025 (a decline of 13.7%).
- Per Business Quant data, RJF's EBITDA in the three fiscal quarters before Q3 2026 was $1.19 billion (Q2 2026), $1.22 billion (Q1 2026) and $1.25 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Raymond James Financial | 30.72 Bn | -17.80 Bn | - | 1.24 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 1.29 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.22 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Sep 30, 2023 | 1.09 Bn |
| Jun 30, 2023 | 914.00 Mn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 933.00 Mn |
| Sep 30, 2022 | 826.00 Mn |
| Jun 30, 2022 | 511.00 Mn |
| Mar 31, 2022 | 505.00 Mn |
| Dec 31, 2021 | 630.00 Mn |
| Sep 30, 2021 | 632.00 Mn |
API Access
Raymond James Financial EBITDA 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=ebitda&ticker=RJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "RJF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();