Tilly'S (TLYS) Long-Term Debt Repayments (2011 - 2018)
Tilly'S (TLYS) reported Long-Term Debt Repayments of $155,000 for fiscal Q4 2018 (quarter ended Feb 3, 2018), down 29.2% from $219,000 a year earlier and down 32.9% from the prior quarter.
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Analysis
Tilly'S (TLYS) Long-Term Debt Repayments (2011 - 2018) Analysis & Trends
For FY2018 (ended Feb 3, 2018), Tilly'S posted Long-Term Debt Repayments of $835,000, down 2.7% from FY2017.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 4.6% (FY2013 to FY2018).
- By fiscal year, Long-Term Debt Repayments came in at $858,000 in FY2017 (+6.3%), $807,000 in FY2016 (+6.5%), $758,000 in FY2015 (+6.5%) and $712,000 in FY2014 (+6.6%).
- The fiscal Q4 2018 figure ranks as the lowest quarterly Long-Term Debt Repayments since fiscal Q1 2012.
- Year over year, Long-Term Debt Repayments gained in seven of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q3 2017 (growth of 6.9%); the low point was fiscal Q4 2018 (a decline of 29.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2018 came in at $231,000 (Q3 2018), $226,000 (Q2 2018) and $223,000 (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,714.49 Bn | 2,231.19 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 319.37 Bn | 312.61 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 161.76 Bn | 139.30 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 112.46 Bn | 105.42 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 74.60 Bn | 73.69 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 74.50 Bn | 57.42 Bn | 2.12 Bn | - |
| 7 | Target | 69.87 Bn | 64.46 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.71 Bn | 51.61 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.24 Bn | 32.73 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Tilly'S | 138.41 Mn | -50.26 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 Long-Term Debt 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=long-term-debt-repayments&ticker=TLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-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=long-term-debt-repayments&ticker=TLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();