NetClass Technology (NTCL) Total Non-Current Liabilities (2023 - 2026)
NetClass Technology (NTCL) reported Total Non-Current Liabilities of $932,486 for the quarter ended Mar 31, 2026, up 150.6% from $372,070 a year earlier.
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Analysis
NetClass Technology (NTCL) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
As of Sep 30, 2025, NetClass Technology posted Total Non-Current Liabilities of $977,992.
- By year, Total Non-Current Liabilities came in at $12,706 in the year ended Sep 30, 2024 (unchanged) and $12,706 in the year ended Sep 30, 2023.
- Five-year quarterly Total Non-Current Liabilities spans a low of $12,706 in the quarter ended Sep 30, 2023 and a high of $977,992 in the quarter ended Sep 30, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | NetClass Technology | 734,079.71 | -5.33 Mn | - | 932,486.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 932,486.00 |
| Sep 30, 2025 | 977,992.00 |
| Mar 31, 2025 | 372,070.00 |
| Sep 30, 2024 | 12,706.00 |
| Sep 30, 2023 | 12,706.00 |
API Access
NetClass Technology Total Non-Current 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-non-current-liabilities&ticker=NTCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NTCL", "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-non-current-liabilities&ticker=NTCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();