Nano-X Imaging (NNOX) Consolidated Net Income (2019 - 2026)
Nano-X Imaging (NNOX) recorded Consolidated Net Income of -$55.49 million in the quarter ended Jun 30, 2026, compared with -$14.72 million a year earlier.
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Analysis
Nano-X Imaging (NNOX) Consolidated Net Income (2019 - 2026) Analysis & Trends
On a TTM basis, Nano-X Imaging's Consolidated Net Income came in at -$116.81 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was -$75.02 million.
- Across earlier years, Consolidated Net Income came in at -$53.21 million in the year ended Dec 31, 2024, -$59.11 million in the year ended Dec 31, 2023, -$114.61 million in the year ended Dec 31, 2022 and -$62.41 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Consolidated Net Income in data going back to the quarter ended Dec 31, 2019.
- Per Business Quant, the preceding three quarters came in at -$14.27 million (quarter ended Mar 31, 2026), -$33.37 million (quarter ended Dec 31, 2025) and -$13.69 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (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 | 823.20 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.48 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | -220.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 905.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 241.40 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
Download Data
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 | -13.69 Mn |
| Jun 30, 2025 | -14.72 Mn |
| Mar 31, 2025 | -13.24 Mn |
| Dec 31, 2024 | -14.07 Mn |
| Sep 30, 2024 | -13.58 Mn |
| Jun 30, 2024 | -13.51 Mn |
| Mar 31, 2024 | -12.05 Mn |
| Dec 31, 2023 | -9.91 Mn |
| Sep 30, 2023 | -21.04 Mn |
| Jun 30, 2023 | -17.00 Mn |
| Mar 31, 2023 | -11.17 Mn |
| Dec 31, 2022 | -52.35 Mn |
| Sep 30, 2022 | -19.38 Mn |
| Jun 30, 2022 | -19.85 Mn |
| Mar 31, 2022 | -23.03 Mn |
| Dec 31, 2021 | -22.45 Mn |
| Sep 30, 2021 | -13.54 Mn |
API Access
Nano-X Imaging Consolidated Net Income 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=consolidated-net-income&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();