Morgan Stanley (MS) Enterprise Value (2009 - 2026)
Morgan Stanley (MS) posted Enterprise Value of $168.46 billion for Q2 2026, up 45.2% from $116.01 billion a year earlier and up 33.2% from the prior quarter.
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Analysis
Morgan Stanley (MS) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Morgan Stanley was -$180.5 billion; for FY2025, it was $169.31 billion, up 75.3% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 55.9% (FY2020 to FY2025).
- In prior years, Morgan Stanley's Enterprise Value was $96.6 billion in FY2024 (+54.6%), $62.47 billion in FY2023 (+336.2%), $14.32 billion in FY2022 (-69.0%) and $46.24 billion in FY2021 (+151.8%).
- Quarterly Enterprise Value has run from a low of -$228.3 million in Q2 2022 to a high of $169.31 billion in Q4 2025 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last 12 quarters, with growth averaging 82.7% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2023, with growth of 336.2%; the weakest was Q4 2022, with a decline of 69.0%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $126.43 billion (Q1 2026), $169.31 billion (Q4 2025) and $149.19 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.46 Bn |
| Mar 31, 2026 | 126.43 Bn |
| Dec 31, 2025 | 169.31 Bn |
| Sep 30, 2025 | 149.19 Bn |
| Jun 30, 2025 | 116.01 Bn |
| Mar 31, 2025 | 96.73 Bn |
| Dec 31, 2024 | 96.60 Bn |
| Sep 30, 2024 | 76.96 Bn |
| Jun 30, 2024 | 67.20 Bn |
| Mar 31, 2024 | 50.86 Bn |
| Dec 31, 2023 | 62.47 Bn |
| Sep 30, 2023 | 25.72 Bn |
| Jun 30, 2023 | 36.66 Bn |
| Mar 31, 2023 | 35.40 Bn |
| Dec 31, 2022 | 14.32 Bn |
| Sep 30, 2022 | 22.15 Bn |
| Jun 30, 2022 | -228.30 Mn |
| Mar 31, 2022 | 17.40 Bn |
| Dec 31, 2021 | 46.24 Bn |
| Sep 30, 2021 | 51.19 Bn |
API Access
Morgan Stanley Enterprise Value 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=enterprise-value&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();