Morgan Stanley (MS) Asset Writedowns and Impairment (2010 - 2018)
Morgan Stanley's Asset Writedowns and Impairment was $8 million in Q1 2018, up 60.0% from $5 million a year earlier but down 89.7% from the prior quarter.
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Analysis
Morgan Stanley (MS) Asset Writedowns and Impairment (2010 - 2018) Analysis & Trends
On a trailing twelve-month basis, Morgan Stanley's Asset Writedowns and Impairment was $94 million through Mar 31, 2018, down 26.0% year-over-year; for FY2017, it was $91 million, down 30.0% from FY2016.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -19.6% (FY2012 to FY2017).
- In earlier years, Asset Writedowns and Impairment was $130 million in FY2016 (+88.4%), $69 million in FY2015 (-37.8%), $111 million in FY2014 (-43.9%) and $198 million in FY2013 (-26.9%).
- Quarterly Asset Writedowns and Impairment has moved between -$22 million (Q4 2015) and $83 million (Q2 2013) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in three of the last seven quarters, with growth averaging 50.8%.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q3 2016 (growth of 337.5%); the worst was Q2 2017 (a decline of 98.3%).
- Per Business Quant data, MS's Asset Writedowns and Impairment in the three quarters before Q1 2018 was $78 million (Q4 2017), $7 million (Q3 2017) and $1 million (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 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 | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 8.00 Mn |
| Dec 31, 2017 | 78.00 Mn |
| Sep 30, 2017 | 7.00 Mn |
| Jun 30, 2017 | 1.00 Mn |
| Mar 31, 2017 | 5.00 Mn |
| Dec 31, 2016 | 28.00 Mn |
| Sep 30, 2016 | 35.00 Mn |
| Jun 30, 2016 | 59.00 Mn |
| Mar 31, 2016 | 8.00 Mn |
| Dec 31, 2015 | -22.00 Mn |
| Sep 30, 2015 | 8.00 Mn |
| Jun 30, 2015 | 62.00 Mn |
| Mar 31, 2015 | 21.00 Mn |
| Dec 31, 2014 | 26.00 Mn |
| Sep 30, 2014 | 8.00 Mn |
| Jun 30, 2014 | 44.00 Mn |
| Mar 31, 2014 | 33.00 Mn |
| Dec 31, 2013 | 16.00 Mn |
| Sep 30, 2013 | 70.00 Mn |
| Jun 30, 2013 | 83.00 Mn |
API Access
Morgan Stanley Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();