Nano-X Imaging (NNOX) Income from Continuing Operations (2019 - 2026)
Nano-X Imaging's Income from Continuing Operations came in at -$55.59 million for the quarter ended Jun 30, 2026, compared with -$14.56 million a year earlier.
Nano-X Imaging (NNOX) Income from Continuing Operations (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Nano-X Imaging reported Income from Continuing Operations of -$120.34 million; for the year ended Dec 31, 2025, it came in at -$78.6 million.
- Going back by year, Income from Continuing Operations was -$54.23 million in the year ended Dec 31, 2024, -$61.45 million in the year ended Dec 31, 2023, -$120.6 million in the year ended Dec 31, 2022 and -$61.89 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Income from Continuing Operations in data going back to the quarter ended Dec 31, 2019.
- Business Quant data shows NNOX's Income from Continuing Operations at -$14.11 million (quarter ended Mar 31, 2026), -$36.76 million (quarter ended Dec 31, 2025) and -$13.87 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 1.76 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 823.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 241.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 451.00 Mn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn | -55.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.59 Mn |
| Mar 31, 2026 | -14.11 Mn |
| Dec 31, 2025 | -36.76 Mn |
| Sep 30, 2025 | -13.87 Mn |
| Jun 30, 2025 | -14.56 Mn |
| Mar 31, 2025 | -13.41 Mn |
| Dec 31, 2024 | -14.25 Mn |
| Sep 30, 2024 | -13.83 Mn |
| Jun 30, 2024 | -13.73 Mn |
| Mar 31, 2024 | -12.43 Mn |
| Dec 31, 2023 | -10.41 Mn |
| Sep 30, 2023 | -21.56 Mn |
| Jun 30, 2023 | -17.54 Mn |
| Mar 31, 2023 | -11.95 Mn |
| Dec 31, 2022 | -54.90 Mn |
| Sep 30, 2022 | -19.92 Mn |
| Jun 30, 2022 | -23.81 Mn |
| Mar 31, 2022 | -21.97 Mn |
| Dec 31, 2021 | -22.08 Mn |
| Sep 30, 2021 | -13.47 Mn |
Nano-X Imaging Income from Continuing Operations 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=income-from-continuing-operations&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();