Morgan Stanley (MS) EV to FCF (2010 - 2022)
Morgan Stanley's (MS) EV to FCF stood at 4.44 in Q3 2022, down 47.7% from 8.48 a year earlier.
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Analysis
Morgan Stanley (MS) EV to FCF (2010 - 2022) Analysis & Trends
On a TTM basis, Morgan Stanley's EV to FCF came in at -74.74 as of Sep 30, 2022; for FY2021, it came in at 1.46.
- Across earlier years, EV to FCF came in at -0.02 in FY2019 and 11.78 in FY2018.
- Quarterly EV to FCF has ranged from -1.70 in Q1 2020 to 14.53 in Q1 2018 over the past five years.
- Per Business Quant, the preceding three quarters came in at -0.02 (Q2 2022), 3.55 (Q1 2022) and 1.46 (Q4 2021).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 4.44 |
| Jun 30, 2022 | -0.02 |
| Mar 31, 2022 | 3.55 |
| Dec 31, 2021 | 1.46 |
| Sep 30, 2021 | 8.48 |
| Jun 30, 2020 | -1.62 |
| Mar 31, 2020 | -1.70 |
| Dec 31, 2019 | -0.02 |
| Sep 30, 2019 | 2.18 |
| Jun 30, 2019 | 2.20 |
| Mar 31, 2019 | 7.00 |
| Dec 31, 2018 | 11.78 |
| Sep 30, 2018 | 4.63 |
| Jun 30, 2018 | 10.22 |
| Mar 31, 2018 | 14.53 |
| Dec 31, 2016 | 18.42 |
| Sep 30, 2016 | 6.01 |
| Jun 30, 2016 | 2.64 |
| Mar 31, 2016 | 4.25 |
| Dec 31, 2014 | 805.30 |
API Access
Morgan Stanley EV to FCF 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=ev-to-fcf&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();