Goldman Sachs (GS) Return on Sales [ROS] (2009 - 2026)
Goldman Sachs (GS) posted Return on Sales [ROS] of 131.07% for Q2 2026, down 17.35 percentage points from 148.41% a year earlier and down 5.74 percentage points from the prior quarter.
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Analysis
Goldman Sachs (GS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Goldman Sachs was 143.67%, down 15.96 percentage points year-over-year; for FY2025, it was 152.13%, down 19.30 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +104.07 percentage points (FY2020 to FY2025).
- In prior years, Goldman Sachs' Return on Sales [ROS] was 171.43% in FY2024 (+13.82 pp), 157.61% in FY2023 (+84.07 pp), 73.54% in FY2022 (+18.44 pp) and 55.10% in FY2021 (+7.03 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -11.75 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 98.86 percentage points; the weakest was Q3 2025, with a drop of 34.54 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 136.81% (Q1 2026), 167.43% (Q4 2025) and 147.27% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 32.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 139.33% |
| Jun 30, 2026 | 131.07% |
| Mar 31, 2026 | 136.81% |
| Dec 31, 2025 | 167.43% |
| Sep 30, 2025 | 147.27% |
| Jun 30, 2025 | 148.41% |
| Mar 31, 2025 | 146.96% |
| Dec 31, 2024 | 164.87% |
| Sep 30, 2024 | 181.81% |
| Jun 30, 2024 | 175.68% |
| Mar 31, 2024 | 164.76% |
| Dec 31, 2023 | 171.40% |
| Sep 30, 2023 | 164.73% |
| Jun 30, 2023 | 155.01% |
| Mar 31, 2023 | 140.30% |
| Dec 31, 2022 | 112.03% |
| Sep 30, 2022 | 85.70% |
| Jun 30, 2022 | 56.14% |
| Mar 31, 2022 | 46.71% |
| Dec 31, 2021 | 49.37% |
API Access
Goldman Sachs Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();