Goldman Sachs (GS) Change in Net Loans (2013 - 2026)
Goldman Sachs' Change in Net Loans was $7.29 billion in Q2 2026, up 17.9% from $6.18 billion a year earlier but down 44.0% from the prior quarter.
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Analysis
Goldman Sachs (GS) Change in Net Loans (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Goldman Sachs' Change in Net Loans was $40.49 billion through Jun 30, 2026, up 27.9% year-over-year; for FY2025, it came in at $39.35 billion, up 130.9% from FY2024.
- Change in Net Loans shows a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- In earlier years, Change in Net Loans was $17.05 billion in FY2024 (+218.4%), $5.35 billion in FY2023 (-78.8%), $25.23 billion in FY2022 (-29.0%) and $35.52 billion in FY2021 (+217.9%).
- Quarterly Change in Net Loans has moved between -$497 million (Q1 2023) and $13.34 billion (Q4 2025) over five years.
- Compared with a year earlier, Change in Net Loans has increased for three straight quarters, with growth averaging 185.9% over the last seven quarters.
- The best year-over-year quarter for Change in Net Loans over five years was Q2 2025 (growth of 910.1%); the worst was Q4 2022 (a decline of 61.9%).
- Per Business Quant data, GS's Change in Net Loans in the three quarters before Q2 2026 was $13.01 billion (Q1 2026), $13.34 billion (Q4 2025) and $6.86 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | -19.63 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 6.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.29 Bn |
| Mar 31, 2026 | 13.01 Bn |
| Dec 31, 2025 | 13.34 Bn |
| Sep 30, 2025 | 6.86 Bn |
| Jun 30, 2025 | 6.18 Bn |
| Mar 31, 2025 | 12.97 Bn |
| Dec 31, 2024 | 4.97 Bn |
| Sep 30, 2024 | 7.53 Bn |
| Jun 30, 2024 | 612.00 Mn |
| Mar 31, 2024 | 3.93 Bn |
| Dec 31, 2023 | 5.95 Bn |
| Sep 30, 2023 | 295.00 Mn |
| Jun 30, 2023 | -397.00 Mn |
| Mar 31, 2023 | -497.00 Mn |
| Dec 31, 2022 | 4.30 Bn |
| Sep 30, 2022 | -152.00 Mn |
| Jun 30, 2022 | 11.00 Bn |
| Mar 31, 2022 | 10.07 Bn |
| Dec 31, 2021 | 11.30 Bn |
| Sep 30, 2021 | 10.59 Bn |
API Access
Goldman Sachs Change in Net Loans 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=change-in-net-loans&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();