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 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 13.33 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 8.16 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 7.37 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 5.99 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 4.83 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 4.20 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 7.05 Bn |
| 10 | Nexentis Technologies | 2.04 Mn | -23.39 Mn | - | -1.75 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();