Hoops Scouting Usa (HSCT) Non Operating Interest Expenses (2017 - 2020)
Hoops Scouting Usa's Non Operating Interest Expenses came in at $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) Non Operating Interest Expenses (2017 - 2020) Analysis & Trends
Over the trailing twelve months to Mar 31, 2020, Hoops Scouting Usa reported Non Operating Interest Expenses of $154.00, down 11.0% year-over-year.
- The five-year range for quarterly Non Operating Interest Expenses is $28.00 (fiscal Q2 2018) to $121.00 (fiscal Q1 2018).
- Year-over-year, Non Operating 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) | 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 | 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 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=HSCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=HSCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();