Nano-X Imaging (NNOX) EBIT (2019 - 2026)
Nano-X Imaging (NNOX) reported EBIT of -$55.49 million for the quarter ended Jun 30, 2026, compared with -$14.72 million a year earlier.
Nano-X Imaging (NNOX) EBIT (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nano-X Imaging's EBIT came in at -$119.7 million; for the year ended Dec 31, 2025, it was -$78.23 million.
- By year, EBIT came in at -$56.75 million in the year ended Dec 31, 2024, -$62.59 million in the year ended Dec 31, 2023, -$117.71 million in the year ended Dec 31, 2022 and -$61.8 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly EBIT in data going back to the quarter ended Dec 31, 2019.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$14.56 million (quarter ended Mar 31, 2026), -$35.42 million (quarter ended Dec 31, 2025) and -$14.24 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 663.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 513.20 Mn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | -55.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.49 Mn |
| Mar 31, 2026 | -14.56 Mn |
| Dec 31, 2025 | -35.42 Mn |
| Sep 30, 2025 | -14.24 Mn |
| Jun 30, 2025 | -14.72 Mn |
| Mar 31, 2025 | -14.09 Mn |
| Dec 31, 2024 | -14.98 Mn |
| Sep 30, 2024 | -14.14 Mn |
| Jun 30, 2024 | -14.51 Mn |
| Mar 31, 2024 | -13.13 Mn |
| Dec 31, 2023 | -10.69 Mn |
| Sep 30, 2023 | -21.99 Mn |
| Jun 30, 2023 | -17.83 Mn |
| Mar 31, 2023 | -12.08 Mn |
| Dec 31, 2022 | -53.76 Mn |
| Sep 30, 2022 | -19.83 Mn |
| Jun 30, 2022 | -22.18 Mn |
| Mar 31, 2022 | -21.94 Mn |
| Dec 31, 2021 | -21.92 Mn |
| Sep 30, 2021 | -13.48 Mn |
Nano-X Imaging EBIT 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=ebit&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "NNOX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();