Morgan Stanley (MS) Provision for Credit Losses (2012 - 2026)
Morgan Stanley (MS) posted Provision for Credit Losses of $110 million for Q2 2026, down 20.3% from $138 million a year earlier but up 34.1% from the prior quarter.
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Analysis
Morgan Stanley (MS) Provision for Credit Losses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Credit Losses at Morgan Stanley was $203 million, down 32.8% year-over-year; for FY2025, it was $230 million, up 57.5% from FY2024.
- Annual Provision for Credit Losses shows a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- In prior years, Morgan Stanley's Provision for Credit Losses was $146 million in FY2024 (-70.1%), $488 million in FY2023 (+125.9%), $216 million in FY2022 and -$48 million in FY2021.
- Quarterly Provision for Credit Losses has run from a low of -$22 million in Q1 2024 to a high of $201 million in Q1 2023 over five years.
- On a year-over-year basis, Provision for Credit Losses increased in three of the last seven quarters, with an average decline of 7.3%.
- The strongest year-over-year quarter for Provision for Credit Losses in the past five years was Q2 2022, with growth of 475.0%; the weakest was Q4 2025, with a decline of 92.3%.
- According to Business Quant data, Provision for Credit Losses for the three prior quarters was $82 million (Q1 2026), $5 million (Q4 2025) and $6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 368.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.03 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 985.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 103.00 Mn |
| Jun 30, 2026 | 110.00 Mn |
| Mar 31, 2026 | 82.00 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 138.00 Mn |
| Mar 31, 2025 | 81.00 Mn |
| Dec 31, 2024 | 65.00 Mn |
| Sep 30, 2024 | 18.00 Mn |
| Jun 30, 2024 | 85.00 Mn |
| Mar 31, 2024 | -22.00 Mn |
| Dec 31, 2023 | 26.00 Mn |
| Sep 30, 2023 | 123.00 Mn |
| Jun 30, 2023 | 138.00 Mn |
| Mar 31, 2023 | 201.00 Mn |
| Dec 31, 2022 | 79.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 92.00 Mn |
| Mar 31, 2022 | 39.00 Mn |
| Dec 31, 2021 | -11.00 Mn |
API Access
Morgan Stanley Provision for Credit Losses 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=provision-for-credit-losses&ticker=MS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();