Nano-X Imaging (NNOX) Non-Current Assets (2019 - 2026)
Nano-X Imaging's Non-Current Assets came in at $52.2 million for the quarter ended Jun 30, 2026, down 58.8% from $126.75 million a year earlier and down 44.7% from the prior quarter.
Nano-X Imaging (NNOX) Non-Current Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging's Non-Current Assets was $95.37 million, down 27.4% from the prior year.
- Non-Current Assets carries a five-year compound annual growth rate of 42.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Non-Current Assets was $131.32 million in the year ended Dec 31, 2024 (+1.0%), $130.01 million in the year ended Dec 31, 2023 (-24.2%), $171.47 million in the year ended Dec 31, 2022 (-36.1%) and $268.31 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Non-Current Assets since the quarter ended Mar 31, 2021.
- Year-over-year, Non-Current Assets has declined for three consecutive quarters, with an average decline of 14.5% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in the quarter ended Jun 30, 2022 (growth of 232.7%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 99.9%).
- Business Quant data shows NNOX's Non-Current Assets at $94.44 million (quarter ended Mar 31, 2026), $95.37 million (quarter ended Dec 31, 2025) and $124.77 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) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | 52.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.20 Mn |
| Mar 31, 2026 | 94.44 Mn |
| Dec 31, 2025 | 95.37 Mn |
| Sep 30, 2025 | 124.77 Mn |
| Jun 30, 2025 | 126.75 Mn |
| Mar 31, 2025 | 128.77 Mn |
| Dec 31, 2024 | 131.32 Mn |
| Sep 30, 2024 | 123.50 Mn |
| Jun 30, 2024 | 126.10 Mn |
| Mar 31, 2024 | 126.84 Mn |
| Dec 31, 2023 | 130.01 Mn |
| Sep 30, 2023 | 133.69 Mn |
| Jun 30, 2023 | 147.37 Mn |
| Mar 31, 2023 | 157.11 Mn |
| Dec 31, 2022 | 171.47 Mn |
| Sep 30, 2022 | 215.08 Bn |
| Jun 30, 2022 | 227.96 Mn |
| Mar 31, 2022 | 269.09 Mn |
| Dec 31, 2021 | 268.31 Mn |
| Sep 30, 2021 | 106.39 Mn |
Nano-X Imaging Non-Current 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=non-current-assets&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();