Huron Consulting (HURN) Non Operating Interest Expenses (2009 - 2019)
Huron Consulting's Non Operating Interest Expenses came in at $4.52 million for Q2 2019, down 9.9% from $5.02 million a year earlier but up 6.2% from the prior quarter.
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Analysis
Huron Consulting (HURN) Non Operating Interest Expenses (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Huron Consulting reported Non Operating Interest Expenses of $18.79 million, down 4.6% year-over-year; for FY2018, it came in at $19.01 million, up 2.1% from FY2017.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 24.0% (FY2013 to FY2018).
- Going back by year, Non Operating Interest Expenses was $18.61 million in FY2017 (+14.4%), $16.27 million in FY2016 (-10.3%), $18.14 million in FY2015 (+109.0%) and $8.68 million in FY2014 (+34.0%).
- The five-year range for quarterly Non Operating Interest Expenses is $1.88 million (Q3 2014) to $5.02 million (Q2 2018).
- Year-over-year, Non Operating Interest Expenses increased in four of the last six quarters, with growth averaging 6.5%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2015 (growth of 220.4%), and the weakest in Q1 2019 (a decline of 14.6%).
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 | Huron Consulting | 2.50 Bn | 2.39 Bn | 163.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 4.52 Mn |
| Mar 31, 2019 | 4.26 Mn |
| Jun 30, 2018 | 5.02 Mn |
| Mar 31, 2018 | 4.99 Mn |
| Dec 31, 2017 | 4.80 Mn |
| Sep 30, 2017 | 4.88 Mn |
| Jun 30, 2017 | 4.93 Mn |
| Mar 31, 2017 | 4.00 Mn |
| Dec 31, 2016 | 4.00 Mn |
| Sep 30, 2016 | 4.18 Mn |
| Jun 30, 2016 | 4.12 Mn |
| Mar 31, 2016 | 3.97 Mn |
| Dec 31, 2015 | 4.34 Mn |
| Sep 30, 2015 | 4.64 Mn |
| Jun 30, 2015 | 4.76 Mn |
| Mar 31, 2015 | 4.39 Mn |
| Dec 31, 2014 | 3.84 Mn |
| Sep 30, 2014 | 1.88 Mn |
| Jun 30, 2014 | 1.59 Mn |
| Mar 31, 2014 | 1.37 Mn |
API Access
Huron Consulting 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=HURN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "HURN", "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=HURN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();