Jinxin Technology Holding (NAMI) Total Liabilities (2022 - 2026)
Jinxin Technology Holding's Total Liabilities was $12.36 million in Q2 2026, down 2.8% from $12.71 million a year earlier.
Analysis
Jinxin Technology Holding (NAMI) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Jinxin Technology Holding came in at $11.48 million, up 5.5% from FY2024.
- Total Liabilities shows a three-year compound annual growth rate of -44.4% (FY2022 to FY2025).
- In earlier years, Total Liabilities was $10.88 million in FY2024 (-74.1%), $42.02 million in FY2023 (-37.0%) and $66.68 million in FY2022.
- Quarterly Total Liabilities has moved between $11.06 million (Q4 2024) and $66.3 million (Q2 2024) over five years.
- Compared with a year earlier, Total Liabilities was higher in 1 of the last four quarters, with an average decline of 37.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Jinxin Technology Holding | 7.08 Mn | -35.17 Mn | - | 12.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.36 Mn |
| Dec 31, 2025 | 11.63 Mn |
| Jun 30, 2025 | 12.71 Mn |
| Dec 31, 2024 | 11.06 Mn |
| Jun 30, 2024 | 66.30 Mn |
| Dec 31, 2023 | 41.25 Mn |
| Dec 31, 2022 | 62.95 Mn |
API Access
Jinxin Technology Holding 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=NAMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NAMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();