Morgan Stanley (MS) Professional Fees (2009 - 2026)
Morgan Stanley (MS) recorded Professional Fees of $700 million in Q3 2026, up 2.2% from $685 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Morgan Stanley (MS) Professional Fees (2009 - 2026) Analysis & Trends
On a TTM basis, Morgan Stanley's Professional Fees came in at $2.75 billion as of Sep 30, 2026, down 4.1% year-over-year; for FY2025, it was $2.84 billion, down 2.1% from FY2024.
- Annual Professional Fees has declined for three straight years, though with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Professional Fees came in at $2.9 billion in FY2024 (-5.1%), $3.06 billion in FY2023 (-0.4%), $3.07 billion in FY2022 (+4.7%) and $2.93 billion in FY2021 (+33.0%).
- Quarterly Professional Fees has ranged from $602 million in Q1 2026 to $853 million in Q4 2022 over the past five years.
- On a year-over-year basis, Professional Fees rose in two of the last eight quarters, with an average decline of 2.9%.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 22.1% in Q4 2021, against a decline of 10.7% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $680 million (Q2 2026), $602 million (Q1 2026) and $769 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 424.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.17 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 700.00 Mn |
| Jun 30, 2026 | 680.00 Mn |
| Mar 31, 2026 | 602.00 Mn |
| Dec 31, 2025 | 769.00 Mn |
| Sep 30, 2025 | 685.00 Mn |
| Jun 30, 2025 | 711.00 Mn |
| Mar 31, 2025 | 674.00 Mn |
| Dec 31, 2024 | 798.00 Mn |
| Sep 30, 2024 | 711.00 Mn |
| Jun 30, 2024 | 753.00 Mn |
| Mar 31, 2024 | 639.00 Mn |
| Dec 31, 2023 | 822.00 Mn |
| Sep 30, 2023 | 759.00 Mn |
| Jun 30, 2023 | 767.00 Mn |
| Mar 31, 2023 | 710.00 Mn |
| Dec 31, 2022 | 853.00 Mn |
| Sep 30, 2022 | 755.00 Mn |
| Jun 30, 2022 | 757.00 Mn |
| Mar 31, 2022 | 705.00 Mn |
| Dec 31, 2021 | 829.00 Mn |
API Access
Morgan Stanley Professional Fees 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=professional-fees&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "MS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();