Nano-X Imaging (NNOX) Asset Utilization Ratio (2022 - 2026)
Nano-X Imaging's (NNOX) Asset Utilization Ratio came in at 0.13 for the quarter ended Jun 30, 2026, up 111.5% from 0.06 a year earlier and up 39.9% from the prior quarter.
Nano-X Imaging (NNOX) Asset Utilization Ratio (2022 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Nano-X Imaging's Asset Utilization Ratio stood at 0.07, up 32.9% from the prior year.
- Annual Asset Utilization Ratio has increased for four consecutive years.
- In prior years, Nano-X Imaging's Asset Utilization Ratio was 0.05 in the year ended Dec 31, 2024 (+25.6%), 0.04 in the year ended Dec 31, 2023 (+50.8%), 0.03 in the year ended Dec 31, 2022 (+538.9%) and 0.00 in the year ended Dec 31, 2021 (-65.2%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Asset Utilization Ratio in data going back to the quarter ended Dec 31, 2022.
- On a year-over-year basis, Asset Utilization Ratio has increased in each of the last ten quarters, with growth averaging 42.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Asset Utilization Ratio ran from 20.4% in the quarter ended Mar 31, 2025 to 111.5% in the quarter ended Jun 30, 2026.
- According to Business Quant data, Asset Utilization Ratio for the three prior quarters was 0.09 (quarter ended Mar 31, 2026), 0.08 (quarter ended Dec 31, 2025) and 0.07 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 0.41 |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 0.42 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 0.54 |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 0.40 |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 0.55 |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 0.47 |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 0.48 |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 0.46 |
| 10 | Nano-X Imaging | 45.93 Mn | -133.74 Mn | -43.67 Mn | 0.13 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.13 |
| Mar 31, 2026 | 0.09 |
| Dec 31, 2025 | 0.08 |
| Sep 30, 2025 | 0.07 |
| Jun 30, 2025 | 0.06 |
| Mar 31, 2025 | 0.06 |
| Dec 31, 2024 | 0.06 |
| Sep 30, 2024 | 0.06 |
| Jun 30, 2024 | 0.05 |
| Mar 31, 2024 | 0.05 |
| Dec 31, 2023 | 0.04 |
| Sep 30, 2023 | 0.04 |
| Jun 30, 2023 | 0.04 |
| Mar 31, 2023 | 0.04 |
| Dec 31, 2022 | 0.00 |
Nano-X Imaging Asset Utilization Ratio 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=asset-utilization-ratio&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();