Patrick Industries (PATK) Non Operating Interest Expenses (2011 - 2016)
Patrick Industries' Non Operating Interest Expenses came in at $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) Non Operating Interest Expenses (2011 - 2016) Analysis & Trends
Over the trailing twelve months to Jun 26, 2016, Patrick Industries reported Non Operating Interest Expenses of $5.9 million, up 94.1% year-over-year; for FY2015, it was $4.32 million, up 80.5% from FY2014.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -4.8% (FY2010 to FY2015).
- Going back by year, Non Operating 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%).
- The five-year range for quarterly Non Operating Interest Expenses is $507,000 (Q2 2014) to $1.65 million (Q1 2016).
- Year-over-year, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 68.5% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2015 (growth of 127.7%), and the weakest in Q4 2013 (a decline of 64.6%).
- Business Quant data shows PATK's Non Operating Interest Expenses at $1.65 million (Q1 2016), $1.46 million (Q4 2015) and $1.15 million (Q3 2015) in the three quarters before Q2 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=PATK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();