Pultegroup (PHM) Operating Interest Expenses (2009 - 2018)
Pultegroup (PHM) recorded Operating Interest Expenses of $32.22 million in Q2 2018, up 13.2% from $28.48 million a year earlier and unchanged from the prior quarter.
Pultegroup (PHM) Operating Interest Expenses (2009 - 2018) Analysis & Trends
On a TTM basis, Pultegroup's Operating Interest Expenses came in at $126.88 million as of Jun 30, 2018, up 12.2% year-over-year; for FY2017, it came in at $119.29 million, up 9.9% from FY2016.
- Annual Operating Interest Expenses has increased for three straight years, though with a five-year compound annual growth rate of -2.5% (FY2012 to FY2017).
- Across earlier years, Operating Interest Expenses came in at $108.57 million in FY2016 (+32.3%), $82.05 million in FY2015 (+15.5%), $71.06 million in FY2014 (-23.0%) and $92.24 million in FY2013 (-31.9%).
- Quarterly Operating Interest Expenses has ranged from $3.32 million in Q1 2014 to $33.14 million in Q4 2017 over the past five years.
- On a year-over-year basis, Operating Interest Expenses has increased for ten consecutive quarters, with growth averaging 22.9% over the last eight quarters.
- Peak year-over-year performance for Operating Interest Expenses in the last five years was growth of 578.5% in Q1 2015, against a decline of 85.3% in Q1 2014 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.21 million (Q1 2018), $33.14 million (Q4 2017) and $29.3 million (Q3 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 39.14 Bn | 30.03 Bn | 2.15 Bn | - |
| 2 | Pultegroup | 22.22 Bn | 15.51 Bn | 1.06 Bn | - |
| 3 | Lennar | 17.48 Bn | 6.90 Bn | 807.31 Mn | - |
| 4 | Nvr | 16.60 Bn | 9.88 Bn | 485.14 Mn | - |
| 5 | Toll Brothers | 12.52 Bn | 7.91 Bn | 625.22 Mn | - |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | - |
| 7 | Champion Homes | 4.79 Bn | 2.27 Bn | - | - |
| 8 | Cavco Industries | 4.30 Bn | 3.05 Bn | - | - |
| 9 | Meritage Homes | 4.17 Bn | 1.09 Bn | 513.60 Mn | - |
| 10 | M | 3.44 Bn | 510.26 Mn | 235.50 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 32.22 Mn |
| Mar 31, 2018 | 32.21 Mn |
| Dec 31, 2017 | 33.14 Mn |
| Sep 30, 2017 | 29.30 Mn |
| Jun 30, 2017 | 28.48 Mn |
| Mar 31, 2017 | 28.37 Mn |
| Dec 31, 2016 | 29.37 Mn |
| Sep 30, 2016 | 26.91 Mn |
| Jun 30, 2016 | 26.18 Mn |
| Mar 31, 2016 | 26.12 Mn |
| Dec 31, 2015 | 14.14 Mn |
| Sep 30, 2015 | 24.60 Mn |
| Jun 30, 2015 | 20.77 Mn |
| Mar 31, 2015 | 22.54 Mn |
| Dec 31, 2014 | 23.00 Mn |
| Sep 30, 2014 | 22.62 Mn |
| Jun 30, 2014 | 22.11 Mn |
| Mar 31, 2014 | 3.32 Mn |
| Dec 31, 2013 | 23.38 Mn |
| Sep 30, 2013 | 23.24 Mn |
Pultegroup 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=operating-interest-expenses&ticker=PHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "PHM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=PHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();