Nano-X Imaging (NNOX) Assets (2019 - 2026)
Nano-X Imaging's Assets was $91.19 million in the quarter ended Jun 30, 2026, down 50.5% from $184.23 million a year earlier and down 37.4% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Assets at Nano-X Imaging came in at $162.17 million, down 22.8% from the prior year.
- Assets has now declined for four consecutive years, with a five-year compound annual growth rate of -7.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Assets was $210 million in the year ended Dec 31, 2024 (-4.0%), $218.65 million in the year ended Dec 31, 2023 (-13.9%), $253.93 million in the year ended Dec 31, 2022 (-30.1%) and $363.17 million in the year ended Dec 31, 2021 (+53.8%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Assets since the quarter ended Dec 31, 2019.
- Compared with a year earlier, Assets has declined for 15 straight quarters, with an average decline of 17.3% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was the quarter ended Dec 31, 2021 (growth of 53.8%); the worst was the quarter ended Sep 30, 2023 (a decline of 99.9%).
- Per Business Quant data, NNOX's Assets in the three quarters before the quarter ended Jun 30, 2026 was $145.77 million (quarter ended Mar 31, 2026), $162.17 million (quarter ended Dec 31, 2025) and $176.09 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 50.73 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 13.87 Bn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | 91.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.19 Mn |
| Mar 31, 2026 | 145.77 Mn |
| Dec 31, 2025 | 162.17 Mn |
| Sep 30, 2025 | 176.09 Mn |
| Jun 30, 2025 | 184.23 Mn |
| Mar 31, 2025 | 196.74 Mn |
| Dec 31, 2024 | 210.00 Mn |
| Sep 30, 2024 | 183.94 Mn |
| Jun 30, 2024 | 195.72 Mn |
| Mar 31, 2024 | 205.88 Mn |
| Dec 31, 2023 | 218.65 Mn |
| Sep 30, 2023 | 231.31 Mn |
| Jun 30, 2023 | 224.89 Mn |
| Mar 31, 2023 | 238.97 Mn |
| Dec 31, 2022 | 253.93 Mn |
| Sep 30, 2022 | 305.69 Bn |
| Jun 30, 2022 | 317.72 Mn |
| Mar 31, 2022 | 347.21 Mn |
| Dec 31, 2021 | 363.17 Mn |
| Sep 30, 2021 | 218.08 Mn |
API Access
Nano-X Imaging Assets 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=assets&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();