Goldman Sachs (GS) Provision for Losses (2018 - 2026)
Goldman Sachs' Provision for Losses came in at $102 million for Q2 2026, down 73.4% from $384 million a year earlier and down 67.6% from the prior quarter.
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Analysis
Goldman Sachs (GS) Provision for Losses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Goldman Sachs reported Provision for Losses of -$1.37 billion; for FY2025, it was -$1.11 billion.
- Going back by year, Provision for Losses was $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 five-year range for quarterly Provision for Losses is -$2.12 billion (Q4 2025) to $972 million (Q4 2022).
- Year-over-year, Provision for Losses increased in two of the last six quarters, with an average decline of 15.2%.
- The fastest year-over-year change in Provision for Losses over five years came in Q3 2022 (growth of 194.3%), and the weakest in Q3 2023 (a decline of 98.6%).
- Business Quant data shows GS's Provision for Losses at $315 million (Q1 2026), -$2.12 billion (Q4 2025) and $339 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 1.40 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | - |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 717.20 Mn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | 1.03 Bn |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | - |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | - |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 985.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.00 Mn |
| Mar 31, 2026 | 315.00 Mn |
| Dec 31, 2025 | -2.12 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 | 577.00 Mn |
| Sep 30, 2023 | 7.00 Mn |
| Jun 30, 2023 | 615.00 Mn |
| Mar 31, 2023 | -171.00 Mn |
| Dec 31, 2022 | 972.00 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 |
| Sep 30, 2021 | 175.00 Mn |
API Access
Goldman Sachs Provision for 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-losses&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();