Morgan Stanley (MS) Interest Expenses (2009 - 2026)
Morgan Stanley (MS) reported Interest Expenses of $13.12 billion for Q2 2026, up 4.5% from $12.56 billion a year earlier and up 4.4% from the prior quarter.
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Analysis
Morgan Stanley (MS) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Morgan Stanley's Interest Expenses came in at $50.76 billion, up 8.3% year-over-year; for FY2025, it was $49.02 billion, up 7.7% from FY2024.
- Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 66.3% (FY2020 to FY2025).
- By year, Interest Expenses came in at $45.52 billion in FY2024 (+21.0%), $37.62 billion in FY2023 (+206.6%), $12.27 billion in FY2022 (+798.1%) and $1.37 billion in FY2021 (-64.5%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q1 2009.
- Year over year, Interest Expenses has now increased in each of the last 13 quarters, with growth averaging 8.0% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2023 (growth of 569.4%); the low point was Q3 2021 (a decline of 49.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.57 billion (Q1 2026), $12.1 billion (Q4 2025) and $12.97 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 25.11 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 | - | 17.84 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 13.12 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 | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 10.97 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 1.96 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.12 Bn |
| Mar 31, 2026 | 12.57 Bn |
| Dec 31, 2025 | 12.10 Bn |
| Sep 30, 2025 | 12.97 Bn |
| Jun 30, 2025 | 12.56 Bn |
| Mar 31, 2025 | 11.40 Bn |
| Dec 31, 2024 | 10.94 Bn |
| Sep 30, 2024 | 11.99 Bn |
| Jun 30, 2024 | 11.46 Bn |
| Mar 31, 2024 | 11.13 Bn |
| Dec 31, 2023 | 10.93 Bn |
| Sep 30, 2023 | 10.15 Bn |
| Jun 30, 2023 | 8.90 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 |
API Access
Morgan Stanley 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=interest-expenses&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();