Kun Peng International (KPEA) Interest Expenses (2013 - 2017)
Kun Peng International's Interest Expenses came in at $3,025 for fiscal Q1 2018 (quarter ended Dec 31, 2017), down 72.8% from $11,125 a year earlier but up 1.2% from the prior quarter.
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Analysis
Kun Peng International (KPEA) Interest Expenses (2013 - 2017) Analysis & Trends
Over the trailing twelve months to Dec 31, 2017, Kun Peng International reported Interest Expenses of $26,921, down 12.8% year-over-year; for FY2017 (ended Sep 30, 2017), it came in at $35,021, up 64.4% from FY2016.
- Interest Expenses carries a four-year compound annual growth rate of 41.3% (FY2013 to FY2017).
- Going back by fiscal year, Interest Expenses was $21,307 in FY2016 (+262.6%), $5,876 in FY2015 (-56.7%), $13,575 in FY2014 (+54.6%) and $8,778 in FY2013.
- The five-year range for quarterly Interest Expenses is -$4,099 (fiscal Q4 2015) to $18,539 (fiscal Q2 2017).
- Year-over-year, Interest Expenses has declined for three consecutive quarters, with growth averaging 75.5% over the last six quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2017 (growth of 609.1%), and the weakest in fiscal Q4 2017 (a decline of 73.4%).
- Business Quant data shows KPEA's Interest Expenses at $2,990 (Q4 2017), $2,367 (Q3 2017) and $18,539 (Q2 2017) in the three fiscal quarters before Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 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 | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Kun Peng International | 13.20 Mn | 13.12 Mn | -5,644.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 3,025.00 |
| Sep 30, 2017 | 2,990.00 |
| Jun 30, 2017 | 2,367.00 |
| Mar 31, 2017 | 18,539.00 |
| Dec 31, 2016 | 11,125.00 |
| Sep 30, 2016 | 11,225.00 |
| Jun 30, 2016 | 6,944.00 |
| Mar 31, 2016 | 1,569.00 |
| Dec 31, 2015 | 1,569.00 |
| Sep 30, 2015 | -4,099.00 |
| Jun 30, 2015 | 3,325.00 |
| Mar 31, 2015 | 3,325.00 |
| Dec 31, 2014 | 3,325.00 |
| Sep 30, 2014 | 3,325.00 |
| Jun 30, 2014 | 3,325.00 |
| Mar 31, 2014 | 3,110.00 |
| Dec 31, 2013 | 3,814.00 |
API Access
Kun Peng International Interest Expenses 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=interest-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "KPEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=KPEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();