Nano-X Imaging (NNOX) Current Assets (2019 - 2026)
Nano-X Imaging's Current Assets came in at $38.99 million for the quarter ended Jun 30, 2026, down 32.2% from $57.48 million a year earlier and down 24.0% from the prior quarter.
Nano-X Imaging (NNOX) Current Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging's Current Assets was $66.79 million, down 15.1% from the prior year.
- Current Assets carries a five-year compound annual growth rate of -21.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Current Assets was $78.68 million in the year ended Dec 31, 2024 (-11.2%), $88.64 million in the year ended Dec 31, 2023 (+7.5%), $82.46 million in the year ended Dec 31, 2022 (-13.1%) and $94.86 million in the year ended Dec 31, 2021 (-56.8%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Current Assets since the quarter ended Dec 31, 2019.
- Year-over-year, Current Assets has declined for ten consecutive quarters, with an average decline of 21.0% over the last eight quarters.
- The fastest year-over-year change in Current Assets over five years came in the quarter ended Dec 31, 2023 (growth of 7.5%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 99.9%).
- Business Quant data shows NNOX's Current Assets at $51.33 million (quarter ended Mar 31, 2026), $66.79 million (quarter ended Dec 31, 2025) and $51.31 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) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 23.37 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 24.52 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 13.38 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 9.54 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 24.39 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 14.42 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 7.97 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 8.14 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 6.82 Bn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | 38.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.99 Mn |
| Mar 31, 2026 | 51.33 Mn |
| Dec 31, 2025 | 66.79 Mn |
| Sep 30, 2025 | 51.31 Mn |
| Jun 30, 2025 | 57.48 Mn |
| Mar 31, 2025 | 67.97 Mn |
| Dec 31, 2024 | 78.68 Mn |
| Sep 30, 2024 | 60.44 Mn |
| Jun 30, 2024 | 69.63 Mn |
| Mar 31, 2024 | 79.03 Mn |
| Dec 31, 2023 | 88.64 Mn |
| Sep 30, 2023 | 97.62 Mn |
| Jun 30, 2023 | 77.52 Mn |
| Mar 31, 2023 | 81.86 Mn |
| Dec 31, 2022 | 82.46 Mn |
| Sep 30, 2022 | 90.61 Bn |
| Jun 30, 2022 | 89.77 Mn |
| Mar 31, 2022 | 78.12 Mn |
| Dec 31, 2021 | 94.86 Mn |
| Sep 30, 2021 | 111.68 Mn |
Nano-X Imaging 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=current-assets&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();