Hoops Scouting Usa (HSCT) Interest Expenses (2017 - 2020)
Hoops Scouting Usa (HSCT) posted Interest Expenses of $42.00 for fiscal Q3 2020 (quarter ended Mar 31, 2020), unchanged from $42.00 a year earlier and unchanged from the prior quarter.
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Analysis
Hoops Scouting Usa (HSCT) Interest Expenses (2017 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, Interest Expenses at Hoops Scouting Usa was $154.00, down 11.0% year-over-year.
- Quarterly Interest Expenses has run from a low of $28.00 in fiscal Q2 2018 to a high of $121.00 in fiscal Q1 2018 over five years.
- On a year-over-year basis, Interest Expenses increased in 1 of the last six quarters, with an average decline of 9.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.60 Bn | 116.88 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 89.52 Bn | 88.60 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 32.94 Bn | 32.13 Bn | 1.07 Bn | - |
| 4 | Rollins | 16.91 Bn | 16.45 Bn | 569.95 Mn | 9.39 Mn |
| 5 | APi | 16.76 Bn | 13.80 Bn | 703.00 Mn | 36.00 Mn |
| 6 | Gartner | 15.49 Bn | 9.18 Bn | 1.19 Bn | 22.27 Mn |
| 7 | UL Solutions | 14.82 Bn | 13.57 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Aramark | 13.80 Bn | 11.74 Bn | 430.34 Mn | - |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | - |
| 10 | Hoops Scouting Usa | 39.49 Mn | 39.48 Mn | 4,245.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 42.00 |
| Dec 31, 2019 | 42.00 |
| Sep 30, 2019 | 28.00 |
| Mar 31, 2019 | 42.00 |
| Dec 31, 2018 | 42.00 |
| Sep 30, 2018 | 42.00 |
| Mar 31, 2018 | 47.00 |
| Dec 31, 2017 | 28.00 |
| Sep 30, 2017 | 121.00 |
API Access
Hoops Scouting Usa 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=HSCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "HSCT", "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=HSCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();