Morgan Stanley (MS) Long-Term Debt Repayments (2010 - 2026)
Morgan Stanley's Long-Term Debt Repayments came in at $26.48 billion for Q2 2026, up 9.2% from $24.25 billion a year earlier but down 3.9% from the prior quarter.
Morgan Stanley (MS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Morgan Stanley reported Long-Term Debt Repayments of $108.34 billion, up 25.1% year-over-year; for FY2025, it was $99.39 billion, up 23.9% from FY2024.
- Long-Term Debt Repayments has increased in each of the last three years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $80.23 billion in FY2024 (+23.8%), $64.81 billion in FY2023 (+85.7%), $34.9 billion in FY2022 (-50.2%) and $70.12 billion in FY2021 (+38.9%).
- The five-year range for quarterly Long-Term Debt Repayments is $7.51 billion (Q3 2022) to $28.2 billion (Q4 2025).
- Year-over-year, Long-Term Debt Repayments has increased for 14 consecutive quarters, with growth averaging 27.3% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2023 (growth of 126.3%), and the weakest in Q2 2022 (a decline of 59.0%).
- Business Quant data shows MS's Long-Term Debt Repayments at $27.56 billion (Q1 2026), $28.2 billion (Q4 2025) and $26.1 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 12.00 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 3.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.48 Bn |
| Mar 31, 2026 | 27.56 Bn |
| Dec 31, 2025 | 28.20 Bn |
| Sep 30, 2025 | 26.10 Bn |
| Jun 30, 2025 | 24.25 Bn |
| Mar 31, 2025 | 20.85 Bn |
| Dec 31, 2024 | 25.63 Bn |
| Sep 30, 2024 | 15.86 Bn |
| Jun 30, 2024 | 21.02 Bn |
| Mar 31, 2024 | 17.72 Bn |
| Dec 31, 2023 | 15.96 Bn |
| Sep 30, 2023 | 14.59 Bn |
| Jun 30, 2023 | 19.06 Bn |
| Mar 31, 2023 | 15.20 Bn |
| Dec 31, 2022 | 7.88 Bn |
| Sep 30, 2022 | 7.51 Bn |
| Jun 30, 2022 | 8.42 Bn |
| Mar 31, 2022 | 11.09 Bn |
| Dec 31, 2021 | 13.43 Bn |
| Sep 30, 2021 | 16.40 Bn |
Morgan Stanley Long-Term Debt Repayments 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-repayments&ticker=MS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();