Nano-X Imaging (NNOX) Shares Outstanding (Diluted) (2022 - 2026)
Nano-X Imaging (NNOX) reported Shares Outstanding (Diluted) of 64.79 million for the quarter ended Jun 30, 2026, up 10.4% from 58.67 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Nano-X Imaging (NNOX) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
Dating back to the quarter ended Dec 31, 2022, Nano-X Imaging's Shares Outstanding (Diluted) record includes 15 quarters.
- Shares Outstanding (Diluted) has increased for three consecutive years, with a three-year compound annual growth rate of 7.4% (years ended Dec 2022 to Dec 2025).
- By year, Shares Outstanding (Diluted) came in at 58.67 million in the year ended Dec 31, 2024 (+4.1%), 56.37 million in the year ended Dec 31, 2023 (+7.9%) and 52.24 million in the year ended Dec 31, 2022.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 11 quarters, with growth averaging 6.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 4.1% in the quarter ended Dec 31, 2024 to 10.4% in the quarter ended Jun 30, 2026.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 64.79 million (quarter ended Mar 31, 2026), 64.79 million (quarter ended Dec 31, 2025) and 58.67 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn | 64.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.79 Mn |
| Mar 31, 2026 | 64.79 Mn |
| Dec 31, 2025 | 64.79 Mn |
| Sep 30, 2025 | 58.67 Mn |
| Jun 30, 2025 | 58.67 Mn |
| Mar 31, 2025 | 58.67 Mn |
| Dec 31, 2024 | 58.67 Mn |
| Sep 30, 2024 | 56.37 Mn |
| Jun 30, 2024 | 56.37 Mn |
| Mar 31, 2024 | 56.37 Mn |
| Dec 31, 2023 | 56.37 Mn |
| Sep 30, 2023 | 52.24 Mn |
| Jun 30, 2023 | 52.24 Mn |
| Mar 31, 2023 | 52.24 Mn |
| Dec 31, 2022 | 52.24 Mn |
API Access
Nano-X Imaging Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();