Hoops Scouting Usa (HSCT) Selling, General & Administrative (2018 - 2026)
Hoops Scouting Usa (HSCT) reported Selling, General & Administrative of $165.00 for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 275.0% from the prior quarter.
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Analysis
Hoops Scouting Usa (HSCT) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Hoops Scouting Usa's Selling, General & Administrative came in at $374.00, down 39.9% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $263.00, down 63.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- By fiscal year, Selling, General & Administrative came in at $711.00 in FY2024 (+19.3%), $596.00 in FY2023 (-15.2%), $703.00 in FY2022 (-60.8%) and $1,793 in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Selling, General & Administrative since fiscal Q4 2024.
- Year over year, Selling, General & Administrative gained in 1 of the last six quarters, with an average decline of 12.9%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q3 2023 (growth of 490.6%); the low point was fiscal Q1 2022 (a decline of 89.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $44.00 (Q2 2026), $73.00 (Q1 2026) and $92.00 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 141.87 Bn | 102.28 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 334.98 Mn |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 78.63 Mn |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Hoops Scouting Usa | 39.49 Mn | 39.48 Mn | 4,245.00 | 165.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 165.00 |
| Dec 31, 2025 | 44.00 |
| Sep 30, 2025 | 73.00 |
| Jun 30, 2025 | 92.00 |
| Dec 31, 2024 | 48.00 |
| Sep 30, 2024 | 123.00 |
| Jun 30, 2024 | 451.00 |
| Mar 31, 2024 | 48.00 |
| Dec 31, 2023 | 48.00 |
| Sep 30, 2023 | 164.00 |
| Jun 30, 2023 | 256.00 |
| Mar 31, 2023 | 189.00 |
| Dec 31, 2022 | 48.00 |
| Sep 30, 2022 | 103.00 |
| Jun 30, 2022 | 48.00 |
| Mar 31, 2022 | 32.00 |
| Dec 31, 2021 | 58.00 |
| Sep 30, 2021 | 565.00 |
| Jun 30, 2021 | -3,673.00 |
| Mar 31, 2021 | 30.00 |
API Access
Hoops Scouting Usa Selling, General & Administrative 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=selling-general-and-administrative&ticker=HSCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HSCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();