Morgan Stanley (MS) Accumulated Expenses (2013 - 2026)
Morgan Stanley (MS) recorded Accumulated Expenses of $31.58 billion in Q2 2026, up 15.0% from $27.46 billion a year earlier and up 13.7% from the prior quarter.
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Analysis
Morgan Stanley (MS) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Morgan Stanley reported Accumulated Expenses of $29.62 billion, up 5.0% from FY2024.
- Annual Accumulated Expenses has increased for three straight years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $28.22 billion in FY2024 (+0.2%), $28.15 billion in FY2023 (+2.9%), $27.35 billion in FY2022 (-6.6%) and $29.3 billion in FY2021 (+14.4%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2013.
- On a year-over-year basis, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 34.6% in Q3 2021, against a decline of 14.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.76 billion (Q1 2026), $29.62 billion (Q4 2025) and $28.85 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.58 Bn |
| Mar 31, 2026 | 27.76 Bn |
| Dec 31, 2025 | 29.62 Bn |
| Sep 30, 2025 | 28.85 Bn |
| Jun 30, 2025 | 27.46 Bn |
| Mar 31, 2025 | 25.61 Bn |
| Dec 31, 2024 | 28.22 Bn |
| Sep 30, 2024 | 28.70 Bn |
| Jun 30, 2024 | 25.94 Bn |
| Mar 31, 2024 | 23.83 Bn |
| Dec 31, 2023 | 28.15 Bn |
| Sep 30, 2023 | 26.03 Bn |
| Jun 30, 2023 | 25.18 Bn |
| Mar 31, 2023 | 24.03 Bn |
| Dec 31, 2022 | 27.35 Bn |
| Sep 30, 2022 | 26.36 Bn |
| Jun 30, 2022 | 26.61 Bn |
| Mar 31, 2022 | 24.21 Bn |
| Dec 31, 2021 | 29.30 Bn |
| Sep 30, 2021 | 30.88 Bn |
API Access
Morgan Stanley Accumulated Expenses 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=accumulated-expenses&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();