Duluth Holdings (DLTH) Total Non-Current Liabilities (2015 - 2017)
Duluth Holdings (DLTH) posted Total Non-Current Liabilities of $40.07 million for fiscal Q4 2017 (quarter ended Jan 29, 2017), up 38.1% from $29.02 million a year earlier but down 27.0% from the prior quarter.
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Analysis
Duluth Holdings (DLTH) Total Non-Current Liabilities (2015 - 2017) Analysis & Trends
Since fiscal Q4 2015, Duluth Holdings has reported Total Non-Current Liabilities for 6 quarters.
- In prior fiscal years, Duluth Holdings' Total Non-Current Liabilities was $29.02 million in FY2016 (-9.0%) and $31.89 million in FY2015.
- Quarterly Total Non-Current Liabilities has run from a low of $24 million in fiscal Q1 2017 to a high of $54.86 million in fiscal Q3 2017 over five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $54.86 million (Q3 2017), $34.32 million (Q2 2017) and $24 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.33 Bn |
| 10 | Duluth Holdings | 136.47 Mn | 76.26 Mn | 88.36 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 29, 2017 | 40.07 Mn |
| Oct 30, 2016 | 54.86 Mn |
| Jul 31, 2016 | 34.32 Mn |
| May 1, 2016 | 24.00 Mn |
| Jan 31, 2016 | 29.02 Mn |
| Feb 1, 2015 | 31.89 Mn |
API Access
Duluth Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DLTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DLTH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=DLTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();