Nano-X Imaging (NNOX) Other Accumulated Expenses (2019 - 2026)
Nano-X Imaging's Other Accumulated Expenses came in at $3.92 million for the quarter ended Jun 30, 2026, down 2.1% from $4 million a year earlier but up 7.1% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging's Other Accumulated Expenses was $4.85 million, up 26.1% from the prior year.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -17.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Accumulated Expenses was $3.85 million in the year ended Dec 31, 2024 (+13.0%), $3.41 million in the year ended Dec 31, 2023 (-15.7%), $4.04 million in the year ended Dec 31, 2022 (+78.7%) and $2.26 million in the year ended Dec 31, 2021 (-81.8%).
- The five-year range for quarterly Other Accumulated Expenses is $2.26 million (the quarter ended Dec 31, 2021) to $3.67 billion (the quarter ended Sep 30, 2022).
- Year-over-year, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 8.8%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Dec 31, 2022 (growth of 78.7%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 99.9%).
- Business Quant data shows NNOX's Other Accumulated Expenses at $3.66 million (quarter ended Mar 31, 2026), $4.85 million (quarter ended Dec 31, 2025) and $4.26 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 3.66 Mn |
| Dec 31, 2025 | 4.85 Mn |
| Sep 30, 2025 | 4.26 Mn |
| Jun 30, 2025 | 4.00 Mn |
| Mar 31, 2025 | 3.92 Mn |
| Dec 31, 2024 | 3.85 Mn |
| Sep 30, 2024 | 3.95 Mn |
| Jun 30, 2024 | 3.71 Mn |
| Mar 31, 2024 | 3.76 Mn |
| Dec 31, 2023 | 3.41 Mn |
| Sep 30, 2023 | 3.28 Mn |
| Jun 30, 2023 | 4.22 Mn |
| Mar 31, 2023 | 3.41 Mn |
| Dec 31, 2022 | 4.04 Mn |
| Sep 30, 2022 | 3.67 Bn |
| Jun 30, 2022 | 4.63 Mn |
| Mar 31, 2022 | 2.84 Mn |
| Dec 31, 2021 | 2.26 Mn |
| Sep 30, 2021 | 5.09 Mn |
API Access
Nano-X Imaging Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();