Nano-X Imaging (NNOX) Other Operating Expenses (2020 - 2026)
Nano-X Imaging (NNOX) reported Other Operating Expenses of $1.9 million for the quarter ended Jun 30, 2026, up 53.3% from $1.24 million a year earlier but down 12.2% from the prior quarter.
Nano-X Imaging (NNOX) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nano-X Imaging's Other Operating Expenses came in at $7.55 million, up 91.0% year-over-year; for the year ended Dec 31, 2025, it came in at $5.67 million, up 66.1% from the prior year.
- Other Operating Expenses has a five-year compound annual growth rate of -14.6% (years ended Dec 2020 to Dec 2025).
- By year, Other Operating Expenses came in at $3.41 million in the year ended Dec 31, 2024 (-18.2%), $4.17 million in the year ended Dec 31, 2023 (-4.8%), $4.38 million in the year ended Dec 31, 2022 (-37.8%) and $7.03 million in the year ended Dec 31, 2021 (-43.5%).
- Five-year quarterly Other Operating Expenses spans a low of $698,000 in the quarter ended Sep 30, 2022 and a high of $2.16 million in the quarter ended Mar 31, 2026.
- Year over year, Other Operating Expenses has now increased in each of the last six quarters, with growth averaging 50.7% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was the quarter ended Mar 31, 2026 (growth of 130.5%); the low point was the quarter ended Sep 30, 2022 (a decline of 54.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.16 million (quarter ended Mar 31, 2026), $2 million (quarter ended Dec 31, 2025) and $1.49 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.90 Mn |
| Mar 31, 2026 | 2.16 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 1.49 Mn |
| Jun 30, 2025 | 1.24 Mn |
| Mar 31, 2025 | 939,000.00 |
| Dec 31, 2024 | 889,000.00 |
| Sep 30, 2024 | 887,000.00 |
| Jun 30, 2024 | 834,000.00 |
| Mar 31, 2024 | 800,000.00 |
| Dec 31, 2023 | 1.03 Mn |
| Sep 30, 2023 | 1.15 Mn |
| Jun 30, 2023 | 835,000.00 |
| Mar 31, 2023 | 1.15 Mn |
| Dec 31, 2022 | 1.49 Mn |
| Sep 30, 2022 | 698,000.00 |
| Jun 30, 2022 | 1.08 Mn |
| Mar 31, 2022 | 1.11 Mn |
| Dec 31, 2021 | 1.94 Mn |
| Sep 30, 2021 | 1.53 Mn |
Nano-X Imaging Other 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=other-operating-expenses&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();