Jinxin Technology Holding (NAMI) Total Non-Current Liabilities (2022 - 2026)
Jinxin Technology Holding's Total Non-Current Liabilities was $398,000 in Q2 2026, down 16.4% from $476,000 a year earlier.
Jinxin Technology Holding (NAMI) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Jinxin Technology Holding came in at $519,000, down 18.8% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, with a three-year compound annual growth rate of -39.5% (FY2022 to FY2025).
- In earlier years, Total Non-Current Liabilities was $639,000 in FY2024 (-16.3%), $763,547 in FY2023 (-67.5%) and $2.35 million in FY2022.
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 | Jinxin Technology Holding | 7.08 Mn | -35.17 Mn | - | 398,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 398,000.00 |
| Dec 31, 2025 | 511,944.13 |
| Jun 30, 2025 | 476,000.00 |
| Dec 31, 2024 | 648,606.04 |
| Jun 30, 2024 | 1.16 Mn |
| Dec 31, 2023 | 749,436.37 |
| Dec 31, 2022 | 2.22 Mn |
Jinxin Technology Holding 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=NAMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NAMI", "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=NAMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();