Nano-X Imaging (NNOX) Goodwill & Intangibles (2021 - 2026)
Nano-X Imaging (NNOX) recorded Goodwill & Intangibles of $14.48 million in the quarter ended Jun 30, 2026, down 77.6% from $64.69 million a year earlier and down 74.9% from the prior quarter.
Nano-X Imaging (NNOX) Goodwill & Intangibles (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging reported Goodwill & Intangibles of $60.18 million, down 14.0% from the prior year.
- Annual Goodwill & Intangibles has a four-year compound annual growth rate of -21.7% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Goodwill & Intangibles came in at $70 million in the year ended Dec 31, 2024 (-49.6%), $138.91 million in the year ended Dec 31, 2023 (+40.8%), $98.64 million in the year ended Dec 31, 2022 (-38.4%) and $160.12 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Goodwill & Intangibles in data going back to the quarter ended Dec 31, 2021.
- On a year-over-year basis, Goodwill & Intangibles has declined for ten consecutive quarters, with an average decline of 26.3% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 40.8% in the quarter ended Dec 31, 2023, against a decline of 99.9% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $57.68 million (quarter ended Mar 31, 2026), $60.18 million (quarter ended Dec 31, 2025) and $62.04 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Nano-X Imaging | 44.54 Mn | -135.14 Mn | -43.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.48 Mn |
| Mar 31, 2026 | 57.68 Mn |
| Dec 31, 2025 | 60.18 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 | 138.91 Mn |
| Sep 30, 2023 | 83.26 Mn |
| Jun 30, 2023 | 93.33 Mn |
| Mar 31, 2023 | 95.99 Mn |
| Dec 31, 2022 | 98.64 Mn |
| Sep 30, 2022 | 137.83 Bn |
| Jun 30, 2022 | 140.48 Mn |
| Mar 31, 2022 | 157.47 Mn |
| Dec 31, 2021 | 160.12 Mn |
Nano-X Imaging Goodwill & 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=goodwill-and-intangibles&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();