Ubs Ag (AMUB) Return on Capital Employed [ROCE] (2009 - 2025)
Ubs Ag's Return on Capital Employed [ROCE] came in at 6.35% for FY2025.
Analysis
Ubs Ag (AMUB) Return on Capital Employed [ROCE] (2009 - 2025) Analysis & Trends
Going back to FY2009, Ubs Ag's Return on Capital Employed [ROCE] data covers 14 years.
- Return on Capital Employed [ROCE] carries a four-year change of +1.17 percentage points (FY2021 to FY2025).
- The FY2025 figure represents the lowest annual Return on Capital Employed [ROCE] since FY2022.
- Per Business Quant, earlier years put Return on Capital Employed [ROCE] at 14.93% in FY2023 (+9.43 pp), 5.50% in FY2022 (+0.33 pp) and 5.17% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 0.82% |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 86.85% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 10.79% |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Ubs Ag | 84.46 Bn | 84.79 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 10.35% |
| Mar 31, 2025 | 3.70% |
| Mar 31, 2024 | 9.27% |
| Dec 31, 2022 | 3.10% |
| Sep 30, 2022 | 41.89% |
| Jun 30, 2022 | 42.61% |
| Dec 31, 2021 | 6.74% |
| Sep 30, 2021 | 59.46% |
| Jun 30, 2021 | 75.13% |
| Dec 31, 2020 | 6.45% |
| Sep 30, 2020 | 36.33% |
| Jun 30, 2020 | 28.97% |
| Dec 31, 2019 | 7.76% |
| Sep 30, 2019 | -12.02% |
| Jun 30, 2019 | -11.71% |
| Dec 31, 2018 | 0.52% |
| Sep 30, 2018 | 87.13% |
| Jun 30, 2018 | 81.52% |
| Mar 31, 2018 | 97.05% |
| Dec 31, 2017 | 93.02% |
API Access
Ubs Ag Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AMUB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "AMUB", "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-capital-employed-%5Broce%5D&ticker=AMUB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();