Nano-X Imaging (NNOX) Asset Writedowns and Impairment (2022)
Nano-X Imaging (NNOX) reported Asset Writedowns and Impairment of $17.53 million for the year ended Dec 31, 2025, compared with $202,000 a year earlier.
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Analysis
Nano-X Imaging (NNOX) Asset Writedowns and Impairment (2022) Analysis & Trends
Dating back to the year ended Dec 31, 2021, Nano-X Imaging's Asset Writedowns and Impairment record includes 5 years.
- Asset Writedowns and Impairment has a four-year compound annual growth rate of 200.8% (years ended Dec 2021 to Dec 2025).
- The figure for the year ended Dec 31, 2025 ranks as the highest annual Asset Writedowns and Impairment since the year ended Dec 31, 2022.
- According to Business Quant data, Asset Writedowns and Impairment came in at $202,000 in the year ended Dec 31, 2024 (-97.3%), $7.42 million in the year ended Dec 31, 2023 (-85.4%), $50.88 million in the year ended Dec 31, 2022 and $214,000 in the year ended Dec 31, 2021.
Peer Set
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 |
API Access
Nano-X Imaging Asset Writedowns and Impairment 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-writedowns-and-impairment&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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-writedowns-and-impairment&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();