Hoops Scouting Usa (HSCT) Total Liabilities (2018 - 2026)
Hoops Scouting Usa (HSCT) recorded Total Liabilities of $313,650 in fiscal Q3 2026 (quarter ended Mar 31, 2026), up 24.3% from $252,354 a year earlier and up 9.4% from the prior quarter.
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Analysis
Hoops Scouting Usa (HSCT) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Hoops Scouting Usa reported Total Liabilities of $253,676, up 8.6% from FY2024.
- Annual Total Liabilities has increased for eight straight fiscal years, with a five-year compound annual growth rate of 55.2% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $233,614 in FY2024 (+50.6%), $155,172 in FY2023 (+88.1%), $82,484 in FY2022 (+90.8%) and $43,235 in FY2021 (+53.3%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities in data going back to fiscal Q3 2018.
- On a year-over-year basis, Total Liabilities has increased for 18 consecutive quarters, with growth averaging 22.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 132.3% in fiscal Q3 2024, against a decline of 6.1% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $286,805 (Q2 2026), $265,237 (Q1 2026) and $253,676 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Hoops Scouting Usa | 39.49 Mn | 39.48 Mn | 4,245.00 | 313,650.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 313,650.00 |
| Dec 31, 2025 | 286,805.00 |
| Sep 30, 2025 | 265,237.00 |
| Jun 30, 2025 | 253,676.00 |
| Mar 31, 2025 | 252,354.00 |
| Dec 31, 2024 | 242,597.00 |
| Sep 30, 2024 | 236,744.00 |
| Jun 30, 2024 | 233,614.00 |
| Mar 31, 2024 | 228,687.00 |
| Dec 31, 2023 | 207,304.00 |
| Sep 30, 2023 | 172,859.00 |
| Jun 30, 2023 | 155,172.00 |
| Mar 31, 2023 | 98,438.00 |
| Dec 31, 2022 | 92,884.00 |
| Sep 30, 2022 | 82,727.00 |
| Jun 30, 2022 | 82,484.00 |
| Mar 31, 2022 | 78,584.00 |
| Dec 31, 2021 | 60,136.00 |
| Sep 30, 2021 | 46,630.00 |
| Jun 30, 2021 | 43,235.00 |
API Access
Hoops Scouting Usa Total Liabilities 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=total-liabilities&ticker=HSCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HSCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();