Ubs Ag (AMUB) Times Interest Earned (2009 - 2020)
Ubs Ag's Times Interest Earned came in at 7.52 for FY2022, down 78.6% from 35.09 in FY2021.
Analysis
Ubs Ag (AMUB) Times Interest Earned (2009 - 2020) Analysis & Trends
Going back to FY2009, Ubs Ag's Times Interest Earned data covers 14 years.
- The five-year range for annual Times Interest Earned is 3.30 (FY2019) to 35.09 (FY2021).
- Per Business Quant, earlier years put Times Interest Earned at 35.09 in FY2021 (+397.2%), 7.06 in FY2020 (+113.8%), 3.30 in FY2019 (-44.3%) and 5.92 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.10 |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -2.12 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.65 |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.56 |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.43 |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 0.56 |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.47 |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.73 |
| 10 | Ubs Ag | 84.34 Bn | 84.67 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 6.83 |
| Mar 31, 2020 | 2.11 |
| Jun 30, 2019 | 3.07 |
| Dec 31, 2017 | 3.74 |
| Sep 30, 2017 | 11.92 |
| Jun 30, 2017 | 3.38 |
| Mar 31, 2017 | 4.57 |
| Dec 31, 2016 | 4.01 |
| Sep 30, 2016 | 3.79 |
| Jun 30, 2016 | 3.49 |
| Mar 31, 2016 | 4.04 |
| Dec 31, 2015 | 4.22 |
| Sep 30, 2015 | 4.92 |
| Jun 30, 2015 | 4.82 |
| Mar 31, 2015 | 5.77 |
| Dec 31, 2014 | 4.66 |
| Jun 30, 2014 | 3.88 |
| Mar 31, 2014 | 4.48 |
| Dec 31, 2013 | 4.44 |
| Sep 30, 2013 | 3.61 |
API Access
Ubs Ag Times Interest Earned 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=times-interest-earned&ticker=AMUB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=AMUB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();