Goldman Sachs (GS) EBITDA (2009 - 2026)
Goldman Sachs (GS) reported EBITDA of $27.17 billion for Q2 2026, up 22.0% from $22.26 billion a year earlier and up 12.9% from the prior quarter.
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Analysis
Goldman Sachs (GS) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Goldman Sachs' EBITDA came in at $97.17 billion, up 5.7% year-over-year; for FY2025, it was $90.85 billion, down 3.5% from FY2024.
- EBITDA has a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- By year, EBITDA came in at $94.13 billion in FY2024 (+21.1%), $77.76 billion in FY2023 (+108.5%), $37.29 billion in FY2022 (+7.4%) and $34.71 billion in FY2021 (+48.8%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q1 2009.
- Year over year, EBITDA gained in four of the last eight quarters, with growth averaging 5.4%.
- The high point for year-over-year EBITDA in five years was Q1 2023 (growth of 177.4%); the low point was Q1 2022 (a decline of 37.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.06 billion (Q1 2026), $23.05 billion (Q4 2025) and $22.89 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 20.89 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 6.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.17 Bn |
| Mar 31, 2026 | 24.06 Bn |
| Dec 31, 2025 | 23.05 Bn |
| Sep 30, 2025 | 22.89 Bn |
| Jun 30, 2025 | 22.26 Bn |
| Mar 31, 2025 | 22.64 Bn |
| Dec 31, 2024 | 23.36 Bn |
| Sep 30, 2024 | 23.71 Bn |
| Jun 30, 2024 | 23.01 Bn |
| Mar 31, 2024 | 24.05 Bn |
| Dec 31, 2023 | 20.18 Bn |
| Sep 30, 2023 | 20.98 Bn |
| Jun 30, 2023 | 18.48 Bn |
| Mar 31, 2023 | 18.12 Bn |
| Dec 31, 2022 | 12.59 Bn |
| Sep 30, 2022 | 10.93 Bn |
| Jun 30, 2022 | 7.23 Bn |
| Mar 31, 2022 | 6.53 Bn |
| Dec 31, 2021 | 6.73 Bn |
| Sep 30, 2021 | 8.90 Bn |
API Access
Goldman Sachs EBITDA 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=ebitda&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();