Nano-X Imaging (NNOX) Enterprise Value (2020 - 2026)
Nano-X Imaging (NNOX) recorded Enterprise Value of $49.7 million in the quarter ended Jun 30, 2026, down 82.1% from $277.7 million a year earlier and down 56.4% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Enterprise Value (2020 - 2026) Analysis & Trends
On a TTM basis, Nano-X Imaging's Enterprise Value came in at -$98.95 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was $135.24 million, down 66.3% from the prior year.
- Annual Enterprise Value has a five-year compound annual growth rate of -37.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Enterprise Value came in at $401.38 million in the year ended Dec 31, 2024 (+40.5%), $285.67 million in the year ended Dec 31, 2023 (-5.0%), $300.66 million in the year ended Dec 31, 2022 (-41.9%) and $517.2 million in the year ended Dec 31, 2021 (-63.4%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Enterprise Value since the quarter ended Sep 30, 2022.
- On a year-over-year basis, Enterprise Value has declined for six consecutive quarters, with an average decline of 33.1% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 101.0% in the quarter ended Mar 31, 2024, against a decline of 82.1% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $114.11 million (quarter ended Mar 31, 2026), $135.24 million (quarter ended Dec 31, 2025) and $190.73 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.70 Mn |
| Mar 31, 2026 | 114.11 Mn |
| Dec 31, 2025 | 135.24 Mn |
| Sep 30, 2025 | 190.73 Mn |
| Jun 30, 2025 | 277.70 Mn |
| Mar 31, 2025 | 271.21 Mn |
| Dec 31, 2024 | 401.38 Mn |
| Sep 30, 2024 | 294.58 Mn |
| Jun 30, 2024 | 360.23 Mn |
| Mar 31, 2024 | 480.08 Mn |
| Dec 31, 2023 | 303.51 Mn |
| Sep 30, 2023 | 266.07 Mn |
| Jun 30, 2023 | 778.88 Mn |
| Mar 31, 2023 | 238.84 Mn |
| Dec 31, 2022 | 300.66 Mn |
| Sep 30, 2022 | -87.44 Bn |
| Jun 30, 2022 | 498.49 Mn |
| Mar 31, 2022 | 487.61 Mn |
| Dec 31, 2021 | 517.20 Mn |
| Sep 30, 2021 | 691.69 Mn |
API Access
Nano-X Imaging Enterprise Value 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=enterprise-value&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();