Nexalin Technology (NXL) Total Debt (2021 - 2023)
Nexalin Technology (NXL) posted Total Debt of $500,000 for Q3 2023, unchanged from $500,000 a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Nexalin Technology (NXL) Total Debt (2021 - 2023) Analysis & Trends
Since Q4 2021, Nexalin Technology has reported Total Debt for 6 quarters.
- In prior years, Nexalin Technology's Total Debt was $560,116 in FY2021.
- Quarterly Total Debt has run from a low of $500,000 in Q3 2022 to a high of $560,116 in Q4 2021 over five years.
- According to Business Quant data, Total Debt for the three prior quarters was $500,000 (Q2 2023), $500,000 (Q1 2023) and $500,000 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 16.81 Bn |
| 10 | Nexalin Technology | 3.09 Mn | -8.70 Mn | 8,897.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 500,000.00 |
| Jun 30, 2023 | 500,000.00 |
| Mar 31, 2023 | 500,000.00 |
| Dec 31, 2022 | 500,000.00 |
| Sep 30, 2022 | 500,000.00 |
| Dec 31, 2021 | 560,116.00 |
API Access
Nexalin Technology Total Debt 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-debt&ticker=NXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "ticker": "NXL", "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-debt&ticker=NXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();