Tilly'S (TLYS) Net Debt Issuances and Repayments (2011 - 2020)
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Analysis
Tilly'S (TLYS) Net Debt Issuances and Repayments (2011 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 10.15 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | -817.00 Mn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | -21.00 Mn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 815.78 Mn |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | - |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | -38.00 Mn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 78.94 Mn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 81.00 Mn |
| 10 | Tilly'S | 126.91 Mn | -61.76 Mn | 58.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 2, 2020 | 23.68 Mn |
| Feb 3, 2018 | -155,000.00 |
| Oct 28, 2017 | -231,000.00 |
| Jul 29, 2017 | -226,000.00 |
| Apr 29, 2017 | -223,000.00 |
| Jan 28, 2017 | -219,000.00 |
| Oct 29, 2016 | -217,000.00 |
| Jul 30, 2016 | -213,000.00 |
| Apr 30, 2016 | -209,000.00 |
| Jan 30, 2016 | -207,000.00 |
| Oct 31, 2015 | -203,000.00 |
| Aug 1, 2015 | -200,000.00 |
| May 2, 2015 | -197,000.00 |
| Jan 31, 2015 | -194,000.00 |
| Nov 1, 2014 | -191,000.00 |
| Aug 2, 2014 | -188,000.00 |
| May 3, 2014 | -185,000.00 |
| Feb 1, 2014 | -182,000.00 |
| Nov 2, 2013 | -179,000.00 |
| Aug 3, 2013 | -177,000.00 |
API Access
Tilly'S Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "ticker": "TLYS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-debt-issuances-and-repayments&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();