Morgan Stanley (MS) Long-Term Debt (2009 - 2019)
Morgan Stanley (MS) recorded Long-Term Debt of $189.19 billion in Q1 2019, down 2.3% from $193.71 billion a year earlier but up 0.6% from the prior quarter.
Morgan Stanley (MS) Long-Term Debt (2009 - 2019) Analysis & Trends
At the end of FY2018, Morgan Stanley reported Long-Term Debt of $188.12 billion, down 1.5% from FY2017.
- Annual Long-Term Debt has a five-year compound annual growth rate of 4.1% (FY2013 to FY2018).
- Across earlier years, Long-Term Debt came in at $191.06 billion in FY2017 (+16.0%), $164.78 billion in FY2016 (+7.2%), $153.77 billion in FY2015 (+0.7%) and $152.77 billion in FY2014 (-0.5%).
- Quarterly Long-Term Debt has ranged from $149.48 billion in Q2 2014 to $193.71 billion in Q1 2018 over the past five years.
- On a year-over-year basis, Long-Term Debt has declined for three consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt in the last five years was growth of 16.9% in Q3 2017, against a decline of 7.2% in Q2 2014 at the low end.
- Per Business Quant, the preceding three quarters came in at $188.12 billion (Q4 2018), $189.95 billion (Q3 2018) and $189.92 billion (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 460.16 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 3,598.37 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 318.69 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 298.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 182.85 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 58.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 189.19 Bn |
| Dec 31, 2018 | 188.12 Bn |
| Sep 30, 2018 | 189.95 Bn |
| Jun 30, 2018 | 189.92 Bn |
| Mar 31, 2018 | 193.71 Bn |
| Dec 31, 2017 | 191.06 Bn |
| Sep 30, 2017 | 191.68 Bn |
| Jun 30, 2017 | 184.11 Bn |
| Mar 31, 2017 | 172.69 Bn |
| Dec 31, 2016 | 164.78 Bn |
| Sep 30, 2016 | 163.93 Bn |
| Jun 30, 2016 | 163.49 Bn |
| Mar 31, 2016 | 162.80 Bn |
| Dec 31, 2015 | 153.77 Bn |
| Sep 30, 2015 | 160.34 Bn |
| Jun 30, 2015 | 158.09 Bn |
| Mar 31, 2015 | 155.55 Bn |
| Dec 31, 2014 | 152.77 Bn |
| Sep 30, 2014 | 152.36 Bn |
| Jun 30, 2014 | 149.48 Bn |
Morgan Stanley Long-Term Debt 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=long-term-debt&ticker=MS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();