Morgan Stanley (MS) Total Liabilities (2009 - 2026)
Morgan Stanley (MS) posted Total Liabilities of $1.56 trillion for Q2 2026, up 25.2% from $1.24 trillion a year earlier and up 6.2% from the prior quarter.
Morgan Stanley (MS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Morgan Stanley's Total Liabilities came in at $1.31 trillion, up 17.8% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Morgan Stanley's Total Liabilities was $1.11 trillion in FY2024 (+1.5%), $1.09 trillion in FY2023 (+1.4%), $1.08 trillion in FY2022 (-0.2%) and $1.08 trillion in FY2021 (+6.8%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 12 quarters, with growth averaging 12.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 25.2%; the weakest was Q3 2022, with a decline of 2.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.47 trillion (Q1 2026), $1.31 trillion (Q4 2025) and $1.25 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 2,099.88 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 273.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,557.62 Bn |
| Mar 31, 2026 | 1,466.03 Bn |
| Dec 31, 2025 | 1,307.62 Bn |
| Sep 30, 2025 | 1,253.76 Bn |
| Jun 30, 2025 | 1,244.60 Bn |
| Mar 31, 2025 | 1,192.45 Bn |
| Dec 31, 2024 | 1,109.64 Bn |
| Sep 30, 2024 | 1,153.36 Bn |
| Jun 30, 2024 | 1,110.84 Bn |
| Mar 31, 2024 | 1,128.36 Bn |
| Dec 31, 2023 | 1,093.71 Bn |
| Sep 30, 2023 | 1,068.86 Bn |
| Jun 30, 2023 | 1,063.55 Bn |
| Mar 31, 2023 | 1,097.95 Bn |
| Dec 31, 2022 | 1,079.00 Bn |
| Sep 30, 2022 | 1,057.94 Bn |
| Jun 30, 2022 | 1,071.11 Bn |
| Mar 31, 2022 | 1,118.16 Bn |
| Dec 31, 2021 | 1,081.54 Bn |
| Sep 30, 2021 | 1,083.36 Bn |
Morgan Stanley Total Liabilities 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=total-liabilities&ticker=MS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();