Morgan Stanley (MS) Short-term Investments (2016 - 2019)
Morgan Stanley (MS) recorded Short-term Investments of $3.19 billion in Q1 2019, down 1.5% from $3.24 billion a year earlier and down 3.7% from the prior quarter.
Morgan Stanley (MS) Short-term Investments (2016 - 2019) Analysis & Trends
At the end of FY2018, Morgan Stanley reported Short-term Investments of $3.31 billion, down 8.1% from FY2017.
- Across earlier years, Short-term Investments came in at $3.6 billion in FY2017 (+38.2%) and $2.61 billion in FY2016.
- Quarterly Short-term Investments has ranged from $2.61 billion in Q4 2016 to $3.6 billion in Q2 2018 over the past five years.
- Per Business Quant, the preceding three quarters came in at $3.31 billion (Q4 2018), $3.01 billion (Q3 2018) and $3.6 billion (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - |
| 10 | American Express | 210.06 Bn | 9.55 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 3.19 Bn |
| Dec 31, 2018 | 3.31 Bn |
| Sep 30, 2018 | 3.01 Bn |
| Jun 30, 2018 | 3.60 Bn |
| Mar 31, 2018 | 3.24 Bn |
| Dec 31, 2017 | 3.60 Bn |
| Dec 31, 2016 | 2.61 Bn |
Morgan Stanley Short-term Investments 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=short-term-investments&ticker=MS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();