Goldman Sachs (GS) Wages, Salaries and Other (2009 - 2026)
Goldman Sachs (GS) recorded Wages, Salaries and Other of $6.1 billion in Q2 2026, up 30.3% from $4.69 billion a year earlier and up 12.8% from the prior quarter.
Goldman Sachs (GS) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
On a TTM basis, Goldman Sachs' Wages, Salaries and Other came in at $20.86 billion as of Jun 30, 2026, up 19.6% year-over-year; for FY2025, it came in at $18.91 billion, up 13.2% from FY2024.
- Annual Wages, Salaries and Other has increased for three straight years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Wages, Salaries and Other came in at $16.71 billion in FY2024 (+7.8%), $15.5 billion in FY2023 (+2.3%), $15.15 billion in FY2022 (-14.5%) and $17.72 billion in FY2021 (+33.1%).
- The Q2 2026 figure is the highest quarterly Wages, Salaries and Other since Q2 2009.
- On a year-over-year basis, Wages, Salaries and Other has increased for seven consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- Peak year-over-year performance for Wages, Salaries and Other in the last five years was growth of 30.9% in Q4 2021, against a decline of 32.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.41 billion (Q1 2026), $4.67 billion (Q4 2025) and $4.68 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 15.16 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -104.91 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 10.99 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 8.19 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 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 | - | 6.10 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 8.85 Bn |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | 2.34 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.10 Bn |
| Mar 31, 2026 | 5.41 Bn |
| Dec 31, 2025 | 4.67 Bn |
| Sep 30, 2025 | 4.68 Bn |
| Jun 30, 2025 | 4.69 Bn |
| Mar 31, 2025 | 4.88 Bn |
| Dec 31, 2024 | 3.76 Bn |
| Sep 30, 2024 | 4.12 Bn |
| Jun 30, 2024 | 4.24 Bn |
| Mar 31, 2024 | 4.59 Bn |
| Dec 31, 2023 | 3.60 Bn |
| Sep 30, 2023 | 4.19 Bn |
| Jun 30, 2023 | 3.62 Bn |
| Mar 31, 2023 | 4.09 Bn |
| Dec 31, 2022 | 3.76 Bn |
| Sep 30, 2022 | 3.61 Bn |
| Jun 30, 2022 | 3.70 Bn |
| Mar 31, 2022 | 4.08 Bn |
| Dec 31, 2021 | 3.25 Bn |
| Sep 30, 2021 | 3.17 Bn |
Goldman Sachs Wages, Salaries and Other 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=wages-salaries-and-other&ticker=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();