Hartford Creative (HFUS) Interest Expenses (2011 - 2018)
Hartford Creative's Interest Expenses came in at $171.00 for fiscal Q3 2018 (quarter ended Apr 30, 2018), up 116.5% from $79.00 a year earlier and up 14.0% from the prior quarter.
Hartford Creative (HFUS) Interest Expenses (2011 - 2018) Analysis & Trends
For FY2017 (ended Jul 31, 2017), Hartford Creative's Interest Expenses was $237.00.
- Interest Expenses carries a five-year compound annual growth rate of 0.9% (FY2012 to FY2017).
- The fiscal Q3 2018 figure represents the highest quarterly Interest Expenses since fiscal Q1 2012.
- Year-over-year, Interest Expenses has increased for three consecutive quarters.
- Business Quant data shows HFUS's Interest Expenses at $150.00 (Q2 2018), $106.00 (Q1 2018) and $98.00 (Q4 2017) in the three fiscal quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 511.00 Mn |
| 2 | Fox | 28.41 Bn | 14.21 Bn | - | - |
| 3 | Omnicom | 22.53 Bn | 4.62 Bn | 1.30 Bn | 123.20 Mn |
| 4 | News | 16.96 Bn | 8.44 Bn | - | - |
| 5 | Pearson | 11.84 Bn | 8.95 Bn | - | - |
| 6 | New York Times | 11.16 Bn | 8.64 Bn | 394.61 Mn | - |
| 7 | Sirius Xm Holdings | 9.11 Bn | 8.68 Bn | 1.44 Bn | 112.00 Mn |
| 8 | Skydance | 7.66 Bn | 5.58 Bn | - | - |
| 9 | Wpp | 5.68 Bn | -6.36 Bn | - | - |
| 10 | Hartford Creative | 50.05 Mn | 49.62 Mn | 1.05 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2018 | 171.00 |
| Jan 31, 2018 | 150.00 |
| Oct 31, 2017 | 106.00 |
| Jul 31, 2017 | 98.00 |
| Apr 30, 2017 | 79.00 |
| Jan 31, 2017 | 45.00 |
| Oct 31, 2016 | 14.00 |
| Oct 31, 2013 | 2.00 |
| Oct 31, 2011 | 227.00 |
| Jul 31, 2011 | 210.00 |
| Apr 30, 2011 | 159.00 |
| Jan 31, 2011 | 35.00 |
Hartford Creative 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=HFUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "HFUS", "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=HFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();