Nano-X Imaging (NNOX) Goodwill (2021 - 2026)
Nano-X Imaging (NNOX) posted Goodwill of $316,000 for the quarter ended Jun 30, 2026, unchanged from the prior quarter.
Analysis
Nano-X Imaging (NNOX) Goodwill (2021 - 2026) Analysis & Trends
Since the quarter ended Dec 31, 2021, Nano-X Imaging has reported Goodwill for 11 quarters.
- Annual Goodwill shows a four-year compound annual growth rate of -72.9% (years ended Dec 2021 to Dec 2025).
- In prior years, Nano-X Imaging's Goodwill was $58.3 million in the year ended Dec 31, 2023 (+685.7%), $7.42 million in the year ended Dec 31, 2022 (-87.3%) and $58.3 million in the year ended Dec 31, 2021.
- Quarterly Goodwill has run from a low of $316,000 in the quarter ended Dec 31, 2025 to a high of $43.96 billion in the quarter ended Sep 30, 2022 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316,000.00 |
| Mar 31, 2026 | 316,000.00 |
| Dec 31, 2025 | 316,000.00 |
| Dec 31, 2023 | 58.30 Mn |
| Jun 30, 2023 | 7.42 Mn |
| Mar 31, 2023 | 7.42 Mn |
| Dec 31, 2022 | 7.42 Mn |
| Sep 30, 2022 | 43.96 Bn |
| Jun 30, 2022 | 43.96 Mn |
| Mar 31, 2022 | 58.30 Mn |
| Dec 31, 2021 | 58.30 Mn |
API Access
Nano-X Imaging Goodwill 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&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();