UBS Group AG (UBS) Operating Expenses (2021 - 2025)
UBS Group AG (UBS) posted Operating Expenses of $40.2 billion for FY2025, down 2.5% from $41.24 billion in FY2024.
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Analysis
UBS Group AG (UBS) Operating Expenses (2021 - 2025) Analysis & Trends
Since FY2021, UBS Group AG has reported Operating Expenses for 5 years.
- Annual Operating Expenses shows a four-year compound annual growth rate of 11.4% (FY2021 to FY2025).
- Annual Operating Expenses has run from a low of $24.93 billion in FY2022 to a high of $41.24 billion in FY2024 over five years.
- Business Quant data shows UBS's Operating Expenses at $41.24 billion in FY2024 (+6.3%), $38.81 billion in FY2023 (+55.7%), $24.93 billion in FY2022 (-4.3%) and $26.06 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | UBS Group AG | 160.80 Bn | 161.06 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.88 Bn |
| Mar 31, 2025 | 2.43 Bn |
| Jun 30, 2024 | 2.32 Bn |
| Mar 31, 2024 | 2.41 Bn |
| Mar 31, 2023 | 2.07 Bn |
| Jun 30, 2022 | 1.37 Bn |
| Mar 31, 2022 | 1.21 Bn |
| Jun 30, 2021 | 1.10 Bn |
| Mar 31, 2021 | 1.09 Bn |
API Access
UBS Group AG Operating Expenses 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=operating-expenses&ticker=UBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=UBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();