Nano-X Imaging (NNOX) Net Income towards Common Stockholders (2019 - 2026)
Nano-X Imaging's Net Income towards Common Stockholders was -$55.49 million in the quarter ended Jun 30, 2026, compared with -$14.72 million a year earlier.
Nano-X Imaging (NNOX) Net Income towards Common Stockholders (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nano-X Imaging's Net Income towards Common Stockholders was -$116.81 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was -$75.02 million.
- In earlier years, Net Income towards Common Stockholders was -$53.52 million in the year ended Dec 31, 2024, -$60.78 million in the year ended Dec 31, 2023, $113.24 million in the year ended Dec 31, 2022 (+83.2%) and $61.8 million in the year ended Dec 31, 2021 (+41.0%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Net Income towards Common Stockholders in data going back to the quarter ended Dec 31, 2019.
- Per Business Quant data, NNOX's Net Income towards Common Stockholders in the three quarters before the quarter ended Jun 30, 2026 was -$14.27 million (quarter ended Mar 31, 2026), -$33.37 million (quarter ended Dec 31, 2025) and -$13.68 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 1.74 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 928.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 870.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 818.10 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 1.28 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 907.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 241.90 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 377.00 Mn |
| 10 | Nano-X Imaging | 44.54 Mn | -135.14 Mn | -43.67 Mn | -55.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.49 Mn |
| Mar 31, 2026 | -14.27 Mn |
| Dec 31, 2025 | -33.37 Mn |
| Sep 30, 2025 | -13.68 Mn |
| Jun 30, 2025 | -14.72 Mn |
| Mar 31, 2025 | -13.24 Mn |
| Dec 31, 2024 | -14.06 Mn |
| Sep 30, 2024 | -13.64 Mn |
| Jun 30, 2024 | -13.58 Mn |
| Mar 31, 2024 | -12.24 Mn |
| Dec 31, 2023 | -10.25 Mn |
| Sep 30, 2023 | -21.40 Mn |
| Jun 30, 2023 | -17.36 Mn |
| Mar 31, 2023 | -11.76 Mn |
| Dec 31, 2022 | -52.84 Mn |
| Sep 30, 2022 | -19.13 Mn |
| Jun 30, 2022 | -19.61 Mn |
| Mar 31, 2022 | -21.67 Mn |
| Dec 31, 2021 | -22.04 Mn |
| Sep 30, 2021 | -13.47 Mn |
Nano-X Imaging Net Income towards Common Stockholders 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=net-income-towards-common-stockholders&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income-towards-common-stockholders", "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=net-income-towards-common-stockholders&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();