Jianzhi Education Technology (JZ) Total Non-Current Liabilities (2021 - 2026)
Jianzhi Education Technology's Total Non-Current Liabilities came in at $6.77 million for Q4 2025, compared with $95,827 a year earlier.
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Analysis
Jianzhi Education Technology (JZ) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Jianzhi Education Technology's Total Non-Current Liabilities was $6.87 million, down 92.7% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of 112.0% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $94.3 million in FY2024, $888,724 in FY2023 and $339,757 in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $95,827 (Q4 2024) to $32.27 million (Q2 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 | 51.94 Bn | 24.18 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 25.50 Bn | 22.27 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.24 Bn | 21.05 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 19.03 Bn | 11.70 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 14.56 Bn | 13.62 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Manhattan Associates | 13.89 Bn | 12.88 Bn | 168.33 Mn | 528.94 Mn |
| 8 | Costar | 13.36 Bn | 7.31 Bn | 728.00 Mn | 2.16 Bn |
| 9 | Bentley Systems | 11.96 Bn | 11.42 Bn | 336.74 Mn | 2.26 Bn |
| 10 | Jianzhi Education Technology | 139,031.62 | -8.28 Mn | - | 2.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Mn |
| Dec 31, 2025 | 6,865.68 |
| Jun 30, 2025 | 32,274.00 |
| Dec 31, 2024 | 94,316.74 |
| Jun 30, 2024 | 705,480.00 |
| Dec 31, 2023 | 887,836.50 |
| Dec 31, 2021 | 343,921.17 |
API Access
Jianzhi Education 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=JZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "JZ", "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=JZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();