Nexentis Technologies (NXTS) Total Non-Current Liabilities (2023 - 2026)
Nexentis Technologies' Total Non-Current Liabilities came in at $2.18 million for Q2 2026, up 22.9% from $1.77 million a year earlier.
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Analysis
Nexentis Technologies (NXTS) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Nexentis Technologies' Total Non-Current Liabilities was $4.28 million.
- The five-year range for quarterly Total Non-Current Liabilities is $931,000 (Q3 2023) to $4.28 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Nexentis Technologies | 2.04 Mn | -23.39 Mn | - | 2.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.18 Mn |
| Dec 31, 2025 | 4.28 Mn |
| Sep 30, 2025 | 1.83 Mn |
| Jun 30, 2025 | 1.77 Mn |
| Mar 31, 2025 | 3.46 Mn |
| Sep 30, 2023 | 931,000.00 |
| Jun 30, 2023 | 997,000.00 |
API Access
Nexentis Technologies 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=NXTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NXTS", "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=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();