Morgan Stanley (MS) EBITDA (2010 - 2026)
Morgan Stanley (MS) recorded EBITDA of $21.67 billion in Q2 2026, up 17.2% from $18.49 billion a year earlier and up 6.8% from the prior quarter.
Powered by 
Analysis
Morgan Stanley (MS) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Morgan Stanley's EBITDA came in at $81.31 billion as of Jun 30, 2026, up 14.1% year-over-year; for FY2025, it was $75.63 billion, up 10.8% from FY2024.
- Annual EBITDA has increased for five straight years, with a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $68.28 billion in FY2024 (+27.2%), $53.69 billion in FY2023 (+76.9%), $30.36 billion in FY2022 (+20.2%) and $25.25 billion in FY2021 (+14.6%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q1 2010.
- On a year-over-year basis, EBITDA has increased for 16 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 126.9% in Q2 2023, against a decline of 10.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $20.3 billion (Q1 2026), $19 billion (Q4 2025) and $20.34 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 20.89 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 6.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.67 Bn |
| Mar 31, 2026 | 20.30 Bn |
| Dec 31, 2025 | 19.00 Bn |
| Sep 30, 2025 | 20.34 Bn |
| Jun 30, 2025 | 18.49 Bn |
| Mar 31, 2025 | 17.80 Bn |
| Dec 31, 2024 | 17.49 Bn |
| Sep 30, 2024 | 17.48 Bn |
| Jun 30, 2024 | 16.81 Bn |
| Mar 31, 2024 | 16.50 Bn |
| Dec 31, 2023 | 14.44 Bn |
| Sep 30, 2023 | 14.28 Bn |
| Jun 30, 2023 | 12.64 Bn |
| Mar 31, 2023 | 12.33 Bn |
| Dec 31, 2022 | 10.91 Bn |
| Sep 30, 2022 | 7.91 Bn |
| Jun 30, 2022 | 5.57 Bn |
| Mar 31, 2022 | 5.96 Bn |
| Dec 31, 2021 | 6.44 Bn |
| Sep 30, 2021 | 6.20 Bn |
API Access
Morgan Stanley 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=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();