Morgan Stanley (MS) Interest Expense - Fed Funds (2009 - 2026)
Morgan Stanley (MS) reported Interest Expense - Fed Funds of $3.57 billion for Q2 2026, up 6.3% from $3.36 billion a year earlier but down 1.2% from the prior quarter.
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Analysis
Morgan Stanley (MS) Interest Expense - Fed Funds (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Morgan Stanley's Interest Expense - Fed Funds came in at $13.63 billion, up 12.7% year-over-year; for FY2025, it was $12.87 billion, up 19.3% from FY2024.
- Interest Expense - Fed Funds has increased for three consecutive years, with a five-year compound annual growth rate of 86.9% (FY2020 to FY2025).
- By year, Interest Expense - Fed Funds came in at $10.79 billion in FY2024 (+60.1%), $6.74 billion in FY2023 (+282.8%), $1.76 billion in FY2022 and $93 million in FY2021 (-83.5%).
- Five-year quarterly Interest Expense - Fed Funds spans a low of $11 million in Q4 2021 and a high of $3.62 billion in Q1 2026.
- Year over year, Interest Expense - Fed Funds has now increased in each of the last 13 quarters, with growth averaging 23.0% over the last eight quarters.
- The year-over-year growth in Interest Expense - Fed Funds has ranged between 6.3% (Q2 2026) and 734.5% (Q2 2023) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.62 billion (Q1 2026), $3.05 billion (Q4 2025) and $3.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.57 Bn |
| Mar 31, 2026 | 3.62 Bn |
| Dec 31, 2025 | 3.05 Bn |
| Sep 30, 2025 | 3.39 Bn |
| Jun 30, 2025 | 3.36 Bn |
| Mar 31, 2025 | 3.07 Bn |
| Dec 31, 2024 | 2.67 Bn |
| Sep 30, 2024 | 2.99 Bn |
| Jun 30, 2024 | 2.72 Bn |
| Mar 31, 2024 | 2.40 Bn |
| Dec 31, 2023 | 2.17 Bn |
| Sep 30, 2023 | 1.90 Bn |
| Jun 30, 2023 | 1.45 Bn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 501.00 Mn |
| Jun 30, 2022 | 174.00 Mn |
| Mar 31, 2022 | 49.00 Mn |
| Dec 31, 2021 | 11.00 Mn |
| Sep 30, 2021 | 19.00 Mn |
API Access
Morgan Stanley Interest Expense - Fed Funds 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-expense-fed-funds&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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-expense-fed-funds&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();