Nano-X Imaging (NNOX) Operating Expenses (2019 - 2026)
Nano-X Imaging's Operating Expenses was $11.8 million in the quarter ended Jun 30, 2026, up 4.9% from $11.25 million a year earlier but down 1.4% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nano-X Imaging's Operating Expenses was $66.93 million through Jun 30, 2026, up 46.4% year-over-year; for the year ended Dec 31, 2025, it came in at $65.45 million, up 41.9% from the prior year.
- Operating Expenses shows a five-year compound annual growth rate of 8.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Expenses was $46.14 million in the year ended Dec 31, 2024 (-17.6%), $56 million in the year ended Dec 31, 2023 (-49.5%), $110.83 million in the year ended Dec 31, 2022 (+84.6%) and $60.05 million in the year ended Dec 31, 2021 (+36.7%).
- Quarterly Operating Expenses has moved between $8.97 million (the quarter ended Dec 31, 2023) and $52.01 million (the quarter ended Dec 31, 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 20.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Dec 31, 2025 (growth of 163.1%); the worst was the quarter ended Dec 31, 2023 (a decline of 82.8%).
- Per Business Quant data, NNOX's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $11.97 million (quarter ended Mar 31, 2026), $31.8 million (quarter ended Dec 31, 2025) and $11.35 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | 11.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.80 Mn |
| Mar 31, 2026 | 11.97 Mn |
| Dec 31, 2025 | 31.80 Mn |
| Sep 30, 2025 | 11.35 Mn |
| Jun 30, 2025 | 11.25 Mn |
| Mar 31, 2025 | 11.04 Mn |
| Dec 31, 2024 | 12.09 Mn |
| Sep 30, 2024 | 11.33 Mn |
| Jun 30, 2024 | 11.65 Mn |
| Mar 31, 2024 | 11.07 Mn |
| Dec 31, 2023 | 8.97 Mn |
| Sep 30, 2023 | 20.33 Mn |
| Jun 30, 2023 | 16.14 Mn |
| Mar 31, 2023 | 10.56 Mn |
| Dec 31, 2022 | 52.01 Mn |
| Sep 30, 2022 | 18.37 Mn |
| Jun 30, 2022 | 20.43 Mn |
| Mar 31, 2022 | 20.02 Mn |
| Dec 31, 2021 | 20.40 Mn |
| Sep 30, 2021 | 13.48 Mn |
API Access
Nano-X Imaging Operating 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=operating-expenses&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();