Nexentis Technologies (NXTS) EBITDA (2019 - 2026)
Nexentis Technologies (NXTS) reported EBITDA of -$1.87 million for Q2 2026, compared with -$2.63 million a year earlier.
Nexentis Technologies (NXTS) EBITDA (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nexentis Technologies' EBITDA came in at -$5.21 million; for FY2025, it came in at -$4.16 million.
- By year, EBITDA came in at -$3.27 million in FY2024, -$7.56 million in FY2023, -$5.76 million in FY2022 and -$4.65 million in FY2021.
- Five-year quarterly EBITDA spans a low of -$2.84 million in Q3 2023 and a high of $612,000 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 9.10 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 8.33 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 999.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 5.09 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.63 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -9.70 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 5.89 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.30 Bn |
| 10 | Nexentis Technologies | 1.20 Mn | -21.57 Mn | - | -1.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.87 Mn |
| Dec 31, 2025 | 612,000.00 |
| Sep 30, 2025 | -1.32 Mn |
| Jun 30, 2025 | -2.63 Mn |
| Mar 31, 2025 | -616,000.00 |
| Dec 31, 2024 | -216,000.00 |
| Sep 30, 2024 | -1.43 Mn |
| Jun 30, 2024 | -842,000.00 |
| Mar 31, 2024 | -894,000.00 |
| Dec 31, 2023 | -2.15 Mn |
| Sep 30, 2023 | -2.84 Mn |
| Jun 30, 2023 | -829,517.00 |
| Mar 31, 2023 | -1.73 Mn |
| Dec 31, 2022 | -1.41 Mn |
| Sep 30, 2022 | -1.76 Mn |
| Jun 30, 2022 | -1.27 Mn |
| Mar 31, 2022 | -1.34 Mn |
| Dec 31, 2021 | -1.53 Mn |
| Sep 30, 2021 | -1.29 Mn |
| Jun 30, 2021 | -1.62 Mn |
Nexentis Technologies EBITDA 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&ticker=NXTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NXTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();