Nano-X Imaging (NNOX) EBITDA (2021 - 2026)
Nano-X Imaging's EBITDA was -$52.67 million in the quarter ended Jun 30, 2026, compared with -$11.77 million a year earlier.
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Analysis
Nano-X Imaging (NNOX) EBITDA (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nano-X Imaging's EBITDA was -$108.26 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was -$66.54 million.
- In earlier years, EBITDA was -$45.01 million in the year ended Dec 31, 2024, -$50.78 million in the year ended Dec 31, 2023, -$95.59 million in the year ended Dec 31, 2022 and -$57.74 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly EBITDA in data going back to the quarter ended Mar 31, 2021.
- Per Business Quant data, NNOX's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was -$11.74 million (quarter ended Mar 31, 2026), -$32.57 million (quarter ended Dec 31, 2025) and -$11.28 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Nano-X Imaging | 26.86 Mn | -152.82 Mn | -43.67 Mn | -52.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -52.66 Mn |
| Mar 31, 2026 | -11.74 Mn |
| Dec 31, 2025 | -32.57 Mn |
| Sep 30, 2025 | -11.28 Mn |
| Jun 30, 2025 | -11.54 Mn |
| Mar 31, 2025 | -11.15 Mn |
| Dec 31, 2024 | -12.04 Mn |
| Sep 30, 2024 | -11.21 Mn |
| Jun 30, 2024 | -11.58 Mn |
| Mar 31, 2024 | -10.19 Mn |
| Dec 31, 2023 | -7.59 Mn |
| Sep 30, 2023 | -19.10 Mn |
| Jun 30, 2023 | -14.92 Mn |
| Mar 31, 2023 | -9.17 Mn |
| Dec 31, 2022 | -50.83 Mn |
| Sep 30, 2022 | -16.95 Mn |
| Jun 30, 2022 | -19.33 Mn |
| Mar 31, 2022 | -19.08 Mn |
| Dec 31, 2021 | -21.78 Mn |
| Sep 30, 2021 | -13.33 Mn |
API Access
Nano-X Imaging EBITDA 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=ebitda&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();