Tilly'S (TLYS) Net Long-Term Debt Issued (Repaid) (2011 - 2018)
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Analysis
Tilly'S (TLYS) Net Long-Term Debt Issued (Repaid) (2011 - 2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 47.56 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | -1.56 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | -21.00 Mn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | - |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | -38.00 Mn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | -476.85 Mn |
| 10 | Tilly'S | 127.06 Mn | -61.61 Mn | 58.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| May 4, 2013 | -174,000.00 |
API Access
Tilly'S Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();