Patrick Industries (PATK) Interest Expenses (2011 - 2016)
Patrick Industries (PATK) posted Interest Expenses of $1.63 million for Q2 2016, up 81.7% from $898,000 a year earlier but down 1.0% from the prior quarter.
Patrick Industries (PATK) Interest Expenses (2011 - 2016) Analysis & Trends
For the trailing twelve months through Jun 26, 2016, Interest Expenses at Patrick Industries was $5.9 million, up 94.1% year-over-year; for FY2015, it was $4.32 million, up 80.5% from FY2014.
- Annual Interest Expenses shows a five-year compound annual growth rate of -4.8% (FY2010 to FY2015).
- In prior years, Patrick Industries' Interest Expenses was $2.39 million in FY2014 (+10.2%), $2.17 million in FY2013 (-46.2%), $4.04 million in FY2012 (-9.7%) and $4.47 million in FY2011 (-19.1%).
- Quarterly Interest Expenses has run from a low of $507,000 in Q2 2014 to a high of $1.65 million in Q1 2016 over five years.
- On a year-over-year basis, Interest Expenses has increased in each of the last eight quarters, with growth averaging 68.5% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q4 2015, with growth of 127.7%; the weakest was Q4 2013, with a decline of 64.6%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $1.65 million (Q1 2016), $1.46 million (Q4 2015) and $1.15 million (Q3 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 53.10 Mn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 1.44 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 61.50 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 28.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 24.80 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 27.40 Mn |
| 10 | Patrick Industries | 2.18 Bn | 2.06 Bn | 247.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2016 | 1.63 Mn |
| Mar 27, 2016 | 1.65 Mn |
| Dec 31, 2015 | 1.46 Mn |
| Sep 27, 2015 | 1.15 Mn |
| Jun 28, 2015 | 898,000.00 |
| Mar 29, 2015 | 804,000.00 |
| Dec 31, 2014 | 643,000.00 |
| Sep 28, 2014 | 694,000.00 |
| Jun 29, 2014 | 507,000.00 |
| Mar 30, 2014 | 549,000.00 |
| Dec 31, 2013 | 556,000.00 |
| Sep 29, 2013 | 541,000.00 |
| Jun 30, 2013 | 522,000.00 |
| Mar 31, 2013 | 552,000.00 |
| Dec 31, 2012 | 1.57 Mn |
| Sep 30, 2012 | 830,000.00 |
| Jul 1, 2012 | 790,000.00 |
| Apr 1, 2012 | 845,000.00 |
| Dec 31, 2011 | 880,000.00 |
| Sep 25, 2011 | 777,000.00 |
Patrick Industries 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=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "PATK", "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=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();