Nano-X Imaging (NNOX) Intangibles (2021 - 2026)
Nano-X Imaging (NNOX) recorded Intangibles of $14.16 million in the quarter ended Jun 30, 2026, down 78.1% from $64.69 million a year earlier and down 75.3% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Intangibles (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging reported Intangibles of $59.87 million, down 14.5% from the prior year.
- Annual Intangibles has declined for four straight years, with a four-year compound annual growth rate of -12.4% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Intangibles came in at $70 million in the year ended Dec 31, 2024 (-13.2%), $80.61 million in the year ended Dec 31, 2023 (-11.6%), $91.22 million in the year ended Dec 31, 2022 (-10.4%) and $101.83 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Intangibles in data going back to the quarter ended Dec 31, 2021.
- On a year-over-year basis, Intangibles has declined for 15 consecutive quarters, with an average decline of 22.0% over the last eight quarters.
- Across the past five years, year-over-year decline in Intangibles ran from 10.4% in the quarter ended Dec 31, 2022 to 99.9% in the quarter ended Sep 30, 2023.
- Per Business Quant, the preceding three quarters came in at $57.36 million (quarter ended Mar 31, 2026), $59.87 million (quarter ended Dec 31, 2025) and $62.04 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 448.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.38 Bn |
| 10 | Nano-X Imaging | 24.96 Mn | -154.71 Mn | -43.67 Mn | 14.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.16 Mn |
| Mar 31, 2026 | 57.36 Mn |
| Dec 31, 2025 | 59.87 Mn |
| Sep 30, 2025 | 62.04 Mn |
| Jun 30, 2025 | 64.69 Mn |
| Mar 31, 2025 | 67.34 Mn |
| Dec 31, 2024 | 70.00 Mn |
| Sep 30, 2024 | 72.65 Mn |
| Jun 30, 2024 | 75.30 Mn |
| Mar 31, 2024 | 77.95 Mn |
| Dec 31, 2023 | 80.61 Mn |
| Sep 30, 2023 | 83.26 Mn |
| Jun 30, 2023 | 85.91 Mn |
| Mar 31, 2023 | 88.57 Mn |
| Dec 31, 2022 | 91.22 Mn |
| Sep 30, 2022 | 93.87 Bn |
| Jun 30, 2022 | 96.52 Mn |
| Mar 31, 2022 | 99.17 Mn |
| Dec 31, 2021 | 101.83 Mn |
API Access
Nano-X Imaging Intangibles 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=intangibles&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();