Nano-X Imaging (NNOX) Prepaid Assets (2019 - 2026)
Nano-X Imaging (NNOX) recorded Prepaid Assets of $918,000 in the quarter ended Jun 30, 2026, up 51.7% from $605,000 a year earlier but down 33.5% from the prior quarter.
Powered by 
Analysis
Nano-X Imaging (NNOX) Prepaid Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging reported Prepaid Assets of $1.26 million, up 51.8% from the prior year.
- Annual Prepaid Assets has a five-year compound annual growth rate of -23.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Prepaid Assets came in at $827,000 in the year ended Dec 31, 2024 (-35.1%), $1.27 million in the year ended Dec 31, 2023 (-47.2%), $2.41 million in the year ended Dec 31, 2022 (-22.9%) and $3.13 million in the year ended Dec 31, 2021 (-34.6%).
- Quarterly Prepaid Assets has ranged from $203,000 in the quarter ended Sep 30, 2023 to $103 million in the quarter ended Sep 30, 2022 over the past five years.
- On a year-over-year basis, Prepaid Assets has increased for five consecutive quarters, with growth averaging 47.1% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 240.4% in the quarter ended Sep 30, 2025, against a decline of 99.8% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.38 million (quarter ended Mar 31, 2026), $1.26 million (quarter ended Dec 31, 2025) and $783,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 918,000.00 |
| Mar 31, 2026 | 1.38 Mn |
| Dec 31, 2025 | 1.26 Mn |
| Sep 30, 2025 | 783,000.00 |
| Jun 30, 2025 | 605,000.00 |
| Mar 31, 2025 | 876,000.00 |
| Dec 31, 2024 | 827,000.00 |
| Sep 30, 2024 | 230,000.00 |
| Jun 30, 2024 | 552,000.00 |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.27 Mn |
| Sep 30, 2023 | 203,000.00 |
| Jun 30, 2023 | 901,000.00 |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 2.41 Mn |
| Sep 30, 2022 | 103.00 Mn |
| Jun 30, 2022 | 804,000.00 |
| Mar 31, 2022 | 2.08 Mn |
| Dec 31, 2021 | 3.13 Mn |
| Sep 30, 2021 | 1.15 Mn |
API Access
Nano-X Imaging Prepaid 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=prepaid-assets&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();