Morgan Stanley (MS) Cash & Equivalents (2019 - 2026)
Morgan Stanley's Cash & Equivalents came in at $160.14 billion for Q2 2026, up 46.7% from $109.13 billion a year earlier and up 19.9% from the prior quarter.
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Analysis
Morgan Stanley (MS) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Morgan Stanley's Cash & Equivalents was $111.7 billion, up 6.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $105.39 billion in FY2024 (+18.1%), $89.23 billion in FY2023 (-30.4%), $128.13 billion in FY2022 (+0.3%) and $127.73 billion in FY2021 (+20.9%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents in data going back to Q4 2019.
- Year-over-year, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2026 (growth of 47.2%), and the weakest in Q4 2023 (a decline of 30.4%).
- Business Quant data shows MS's Cash & Equivalents at $133.53 billion (Q1 2026), $111.7 billion (Q4 2025) and $103.73 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (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 | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 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 | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 45.24 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.14 Bn |
| Mar 31, 2026 | 133.53 Bn |
| Dec 31, 2025 | 111.70 Bn |
| Sep 30, 2025 | 103.73 Bn |
| Jun 30, 2025 | 109.13 Bn |
| Mar 31, 2025 | 90.74 Bn |
| Dec 31, 2024 | 105.39 Bn |
| Sep 30, 2024 | 91.08 Bn |
| Jun 30, 2024 | 90.16 Bn |
| Mar 31, 2024 | 102.31 Bn |
| Dec 31, 2023 | 89.23 Bn |
| Sep 30, 2023 | 108.40 Bn |
| Jun 30, 2023 | 104.99 Bn |
| Mar 31, 2023 | 111.26 Bn |
| Dec 31, 2022 | 128.13 Bn |
| Sep 30, 2022 | 111.70 Bn |
| Jun 30, 2022 | 131.29 Bn |
| Mar 31, 2022 | 136.09 Bn |
| Dec 31, 2021 | 127.73 Bn |
| Sep 30, 2021 | 123.86 Bn |
API Access
Morgan Stanley Cash & Equivalents 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=cash-and-equivalents&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();