Goldman Sachs (GS) EBITDA Margin (2009 - 2026)
Goldman Sachs (GS) recorded EBITDA Margin of 133.57% in Q2 2026, down 19.08 percentage points from 152.65% a year earlier and down 6.11 percentage points from the prior quarter.
Goldman Sachs (GS) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Goldman Sachs' EBITDA Margin came in at 146.78% as of Jun 30, 2026, down 16.84 percentage points year-over-year; for FY2025, it came in at 155.87%, down 20.03 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +103.54 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 175.90% in FY2024 (+7.79 pp), 168.11% in FY2023 (+89.39 pp), 78.72% in FY2022 (+20.23 pp) and 58.49% in FY2021 (+6.16 pp).
- The Q2 2026 figure is the lowest quarterly EBITDA Margin since Q4 2022.
- On a year-over-year basis, EBITDA Margin rose in two of the last eight quarters, with an average year-over-year change of -13.80 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 108.69 percentage points in Q2 2023, against a drop of 35.93 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 139.68% (Q1 2026), 171.35% (Q4 2025) and 150.77% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 92.35% |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 33.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.57% |
| Mar 31, 2026 | 139.68% |
| Dec 31, 2025 | 171.35% |
| Sep 30, 2025 | 150.77% |
| Jun 30, 2025 | 152.65% |
| Mar 31, 2025 | 150.32% |
| Dec 31, 2024 | 168.46% |
| Sep 30, 2024 | 186.70% |
| Jun 30, 2024 | 180.76% |
| Mar 31, 2024 | 169.18% |
| Dec 31, 2023 | 178.29% |
| Sep 30, 2023 | 177.52% |
| Jun 30, 2023 | 169.64% |
| Mar 31, 2023 | 148.23% |
| Dec 31, 2022 | 118.89% |
| Sep 30, 2022 | 91.27% |
| Jun 30, 2022 | 60.95% |
| Mar 31, 2022 | 50.51% |
| Dec 31, 2021 | 53.23% |
| Sep 30, 2021 | 65.43% |
Goldman Sachs EBITDA Margin 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-margin&ticker=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();