Goldman Sachs (GS) Provision for Credit Losses (2015 - 2026)
Goldman Sachs (GS) reported Provision for Credit Losses of $368 million for Q3 2026, up 8.6% from $339 million a year earlier and up 196.8% from the prior quarter.
Powered by 
Analysis
Goldman Sachs (GS) Provision for Credit Losses (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Goldman Sachs' Provision for Credit Losses came in at -$1.36 billion; for FY2025, it was -$1.15 billion.
- By year, Provision for Credit Losses came in at $1.35 billion in FY2024 (+31.1%), $1.03 billion in FY2023 (-62.1%), $2.72 billion in FY2022 (+660.5%) and $357 million in FY2021 (-88.5%).
- The Q3 2026 figure ranks as the highest quarterly Provision for Credit Losses since Q2 2025.
- Year over year, Provision for Credit Losses gained in three of the last seven quarters, with an average decline of 9.1%.
- The high point for year-over-year Provision for Credit Losses in five years was Q3 2024 (growth of 254.5%); the low point was Q3 2023 (a decline of 78.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $124 million (Q2 2026), $315 million (Q1 2026) and -$2.16 billion (Q4 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 | 368.00 Mn |
| Jun 30, 2026 | 124.00 Mn |
| Mar 31, 2026 | 315.00 Mn |
| Dec 31, 2025 | -2.16 Bn |
| Sep 30, 2025 | 339.00 Mn |
| Jun 30, 2025 | 384.00 Mn |
| Mar 31, 2025 | 287.00 Mn |
| Dec 31, 2024 | 351.00 Mn |
| Sep 30, 2024 | 397.00 Mn |
| Jun 30, 2024 | 282.00 Mn |
| Mar 31, 2024 | 318.00 Mn |
| Dec 31, 2023 | 477.00 Mn |
| Sep 30, 2023 | 112.00 Mn |
| Jun 30, 2023 | 688.00 Mn |
| Mar 31, 2023 | -249.00 Mn |
| Dec 31, 2022 | 938.00 Mn |
| Sep 30, 2022 | 515.00 Mn |
| Jun 30, 2022 | 667.00 Mn |
| Mar 31, 2022 | 561.00 Mn |
| Dec 31, 2021 | 344.00 Mn |
API Access
Goldman Sachs 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=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "GS", "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=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();