Harte Hanks (HHS) Non Operating Interest Expenses (2010 - 2017)
Harte Hanks' Non Operating Interest Expenses came in at $1.29 million for Q3 2017, up 82.5% from $704,000 a year earlier and up 4.0% from the prior quarter.
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Analysis
Harte Hanks (HHS) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
Over the trailing twelve months to Sep 30, 2017, Harte Hanks reported Non Operating Interest Expenses of $5.62 million, up 25.0% year-over-year; for FY2014, it was $2.83 million, down 8.7% from FY2013.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -19.0% (FY2009 to FY2014).
- Going back by year, Non Operating Interest Expenses was $3.1 million in FY2013 (-13.2%), $3.57 million in FY2012 (+21.5%), $2.94 million in FY2011 (+4.1%) and $2.82 million in FY2010 (-65.3%).
- The Q3 2017 figure represents the highest quarterly Non Operating Interest Expenses since Q2 2016.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2017 (growth of 82.5%), and the weakest in Q2 2017 (a decline of 48.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Harte Hanks | 33.92 Mn | 12.09 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 1.29 Mn |
| Jun 30, 2017 | 1.24 Mn |
| Sep 30, 2016 | 704,000.00 |
| Jun 30, 2016 | 2.40 Mn |
| Dec 31, 2014 | 681,000.00 |
| Sep 30, 2014 | 716,000.00 |
| Jun 30, 2014 | 710,000.00 |
| Mar 31, 2014 | 679,000.00 |
| Dec 31, 2013 | 767,000.00 |
| Sep 30, 2013 | 754,000.00 |
| Jun 30, 2013 | 779,000.00 |
| Mar 31, 2013 | 781,000.00 |
| Dec 31, 2012 | 824,000.00 |
| Sep 30, 2012 | 850,000.00 |
| Jun 30, 2012 | 880,000.00 |
| Mar 31, 2012 | 1.02 Mn |
| Dec 31, 2011 | 790,000.00 |
| Sep 30, 2011 | 889,000.00 |
| Jun 30, 2011 | 626,000.00 |
| Mar 31, 2011 | 636,000.00 |
API Access
Harte Hanks 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=HHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "HHS", "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=HHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();