Nexalin Technology (NXL) EBITDA Margin (2021 - 2026)
Nexalin Technology's EBITDA Margin was -18290.04% in Q2 2026, down 4182.62 percentage points from the prior quarter.
Nexalin Technology (NXL) EBITDA Margin (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nexalin Technology's EBITDA Margin was -3854.71% through Jun 30, 2026; for FY2023, it was -5139.63%, down 5000.95 percentage points from FY2022.
- In earlier years, EBITDA Margin was -138.68% in FY2022 (+4038.64 pp) and -4177.33% in FY2021.
- The Q2 2026 figure marks the lowest quarterly EBITDA Margin in data going back to Q4 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 24.62% |
| 10 | Nexalin Technology | 3.09 Mn | -8.70 Mn | 8,897.00 | -18,290.04% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18,290.04% |
| Mar 31, 2026 | -14,107.42% |
| Dec 31, 2023 | -7,901.86% |
| Sep 30, 2023 | -10,013.89% |
| Jun 30, 2023 | -2,464.92% |
| Mar 31, 2023 | -2,547.88% |
| Dec 31, 2022 | -1,872.49% |
| Sep 30, 2022 | -53.74% |
| Jun 30, 2022 | -107.41% |
| Mar 31, 2022 | -115.98% |
| Dec 31, 2021 | -2,405.75% |
Nexalin Technology EBITDA Margin 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=ebitda-margin&ticker=NXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=NXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();