Morgan Stanley (MS) Non Operating Interest Expenses (2009 - 2024)
Morgan Stanley (MS) reported Non Operating Interest Expenses of $11.13 billion for Q1 2024, up 45.8% from $7.63 billion a year earlier but down 8.4% from the prior quarter.
Morgan Stanley (MS) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Morgan Stanley's Non Operating Interest Expenses came in at $44.66 billion, up 129.4% year-over-year; for FY2023, it was $42.05 billion, up 242.8% from FY2022.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 33.0% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $12.27 billion in FY2022 (+798.1%), $1.37 billion in FY2021 (-64.5%), $3.85 billion in FY2020 (-69.0%) and $12.4 billion in FY2019 (+23.0%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $288 million in Q3 2021 and a high of $12.16 billion in Q4 2023.
- Year over year, Non Operating Interest Expenses has now increased in each of the last four quarters, with growth averaging 255.0% over the last five quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 654.7%); the low point was Q4 2020 (a decline of 85.2%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $12.16 billion (Q4 2023), $11.33 billion (Q3 2023) and $10.04 billion (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -538.61 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 | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 9.12 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
| Date | Value |
|---|---|
| Mar 31, 2024 | 11.13 Bn |
| Dec 31, 2023 | 12.16 Bn |
| Sep 30, 2023 | 11.33 Bn |
| Jun 30, 2023 | 10.04 Bn |
| Mar 31, 2023 | 7.63 Bn |
| Dec 31, 2022 | 6.91 Bn |
| Sep 30, 2022 | 3.59 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 434.00 Mn |
| Dec 31, 2021 | 322.00 Mn |
| Sep 30, 2021 | 288.00 Mn |
| Jun 30, 2021 | 347.00 Mn |
| Mar 31, 2021 | 409.00 Mn |
| Dec 31, 2020 | 374.00 Mn |
| Sep 30, 2020 | 570.00 Mn |
| Jun 30, 2020 | 758.00 Mn |
| Mar 31, 2020 | 2.15 Bn |
| Dec 31, 2019 | 2.52 Bn |
| Sep 30, 2019 | 3.13 Bn |
| Jun 30, 2019 | 3.48 Bn |
Morgan Stanley Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=MS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();