Hoops Scouting Usa (HSCT) Operating Expenses (2017 - 2026)
Hoops Scouting Usa's Operating Expenses was $41,380 in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 324.1% from $9,757 a year earlier and up 92.0% from the prior quarter.
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Analysis
Hoops Scouting Usa (HSCT) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hoops Scouting Usa's Operating Expenses was $75,723 through Mar 31, 2026, up 218.6% year-over-year; for FY2025 (ended Jun 30, 2025), it was $20,118, down 60.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $50,878 in FY2024 (-58.9%), $123,699 in FY2023 (+135.9%), $52,443 in FY2022 (+43.3%) and $36,592 in FY2021 (+307.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses since fiscal Q4 2023.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 64.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2026 (growth of 324.1%); the worst was fiscal Q1 2023 (a decline of 97.5%).
- Per Business Quant data, HSCT's Operating Expenses in the three fiscal quarters before Q3 2026 was $21,553 (Q2 2026), $11,468 (Q1 2026) and $1,322 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Hoops Scouting Usa | 39.49 Mn | 39.48 Mn | 4,245.00 | 41,380.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 41,380.00 |
| Dec 31, 2025 | 21,553.00 |
| Sep 30, 2025 | 11,468.00 |
| Jun 30, 2025 | 1,322.00 |
| Mar 31, 2025 | 9,757.00 |
| Dec 31, 2024 | 5,861.00 |
| Sep 30, 2024 | 3,178.00 |
| Jun 30, 2024 | 4,975.00 |
| Mar 31, 2024 | 13,528.00 |
| Dec 31, 2023 | 20,781.00 |
| Sep 30, 2023 | 11,594.00 |
| Jun 30, 2023 | 103,446.00 |
| Mar 31, 2023 | 9,489.00 |
| Dec 31, 2022 | 10,351.00 |
| Sep 30, 2022 | 413.00 |
| Jun 30, 2022 | 3,954.00 |
| Mar 31, 2022 | 23,027.00 |
| Dec 31, 2021 | 8,632.00 |
| Sep 30, 2021 | 16,830.00 |
| Jun 30, 2021 | 24,351.00 |
API Access
Hoops Scouting Usa Operating 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=operating-expenses&ticker=HSCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=HSCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();