Designer Brands (DBI) Times Interest Earned (2013 - 2018)
Designer Brands' Times Interest Earned came in at -24.40 for FY2021 (year ended Jan 30, 2021), compared with 14.28 in FY2020.
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Analysis
Designer Brands (DBI) Times Interest Earned (2013 - 2018) Analysis & Trends
Going back to FY2013, Designer Brands' Times Interest Earned data covers 9 fiscal years.
- The FY2021 figure represents the lowest annual Times Interest Earned in data going back to FY2013.
- Per Business Quant, earlier fiscal years put Times Interest Earned at 14.28 in FY2020 (-41.1%), 24.25 in FY2019 (-90.5%), 256.27 in FY2018 (-69.5%) and 840.24 in FY2017 (-33.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 20.90 |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 11.73 |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.12 |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 14.11 |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 6.73 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Designer Brands | 262.51 Mn | 58.60 Mn | 365.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 3, 2018 | 149.87 |
| Oct 28, 2017 | 20.30 |
| Jul 29, 2017 | 997.15 |
| Apr 29, 2017 | 864.94 |
| Jan 28, 2017 | 596.90 |
| Oct 29, 2016 | 1,103.49 |
| Jul 30, 2016 | 792.14 |
| Apr 30, 2016 | 994.20 |
| Jan 30, 2016 | 416.32 |
| Oct 31, 2015 | 1,292.43 |
| Aug 1, 2015 | 1,489.53 |
| May 2, 2015 | 1,936.11 |
| Jan 31, 2015 | 2,090.22 |
| Nov 1, 2014 | 1,814.48 |
| Aug 2, 2014 | 1,066.44 |
| May 3, 2014 | 1,701.42 |
| Feb 1, 2014 | 1,043.37 |
| Nov 2, 2013 | 948.99 |
| Aug 3, 2013 | 260.78 |
| May 4, 2013 | 250.17 |
API Access
Designer Brands 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=DBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "DBI", "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=DBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();