Nexentis Technologies (NXTS) Total Liabilities (2018 - 2026)
Nexentis Technologies (NXTS) posted Total Liabilities of $16.79 million for Q2 2026, up 662.7% from $2.2 million a year earlier.
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Analysis
Nexentis Technologies (NXTS) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Nexentis Technologies' Total Liabilities came in at $4.4 million, up 392.7% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- In prior years, Nexentis Technologies' Total Liabilities was $892,000 in FY2024 (+13.5%), $786,000 in FY2023 (+4.1%), $755,213 in FY2022 (-36.3%) and $1.18 million in FY2021 (+2.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Liabilities increased in six of the last seven quarters, with growth averaging 277.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 662.7%; the weakest was Q1 2023, with a decline of 44.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Nexentis Technologies | 1.20 Mn | -21.57 Mn | - | 16.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.79 Mn |
| Dec 31, 2025 | 4.40 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 3.67 Mn |
| Dec 31, 2024 | 892,000.00 |
| Sep 30, 2024 | 519,597.00 |
| Jun 30, 2024 | 1.59 Mn |
| Mar 31, 2024 | 565,748.00 |
| Dec 31, 2023 | 786,000.00 |
| Sep 30, 2023 | 633,473.00 |
| Jun 30, 2023 | 600,507.00 |
| Mar 31, 2023 | 696,922.00 |
| Dec 31, 2022 | 755,213.00 |
| Sep 30, 2022 | 870,017.00 |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.18 Mn |
| Sep 30, 2021 | 1.02 Mn |
| Jun 30, 2021 | 1.36 Mn |
API Access
Nexentis Technologies 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=NXTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();