Nexentis Technologies (NXTS) Debt Ratio (2018 - 2026)
Nexentis Technologies' (NXTS) Debt Ratio came in at 0.02 for Q2 2026, down 75.0% from 0.09 a year earlier.
Analysis
Nexentis Technologies (NXTS) Debt Ratio (2018 - 2026) Analysis & Trends
For FY2025, Nexentis Technologies' Debt Ratio stood at 0.05.
- In prior years, Nexentis Technologies' Debt Ratio was 0.00 in FY2021 (-98.8%).
- The Q2 2026 figure stands as the lowest quarterly Debt Ratio since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Nexentis Technologies | 1.20 Mn | -21.57 Mn | - | 0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Dec 31, 2025 | 0.05 |
| Sep 30, 2025 | 0.10 |
| Jun 30, 2025 | 0.09 |
| Mar 31, 2025 | 0.10 |
| Jun 30, 2024 | 0.16 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | 0.00 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | 0.00 |
| Sep 30, 2021 | 0.00 |
| Jun 30, 2021 | 0.00 |
| Mar 31, 2021 | 0.11 |
| Dec 31, 2020 | 0.09 |
| Sep 30, 2020 | 0.08 |
| Jun 30, 2020 | 0.05 |
| Mar 31, 2020 | 0.04 |
| Dec 31, 2019 | 0.03 |
| Dec 31, 2018 | 0.07 |
API Access
Nexentis Technologies Debt Ratio 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=debt-ratio&ticker=NXTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();