Nano-X Imaging (NNOX) Capital Expenditures (2021 - 2026)
Nano-X Imaging (NNOX) reported Capital Expenditures of -$984,000 for the quarter ended Jun 30, 2026, compared with -$1.05 million a year earlier.
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Analysis
Nano-X Imaging (NNOX) Capital Expenditures (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nano-X Imaging's Capital Expenditures came in at -$5.39 million; for the year ended Dec 31, 2025, it was -$4.21 million.
- By year, Capital Expenditures came in at -$2.77 million in the year ended Dec 31, 2024, -$3.3 million in the year ended Dec 31, 2023, -$7.17 million in the year ended Dec 31, 2022 and -$23.16 million in the year ended Dec 31, 2021.
- Five-year quarterly Capital Expenditures spans a low of -$5.91 million in the quarter ended Dec 31, 2021 and a high of $216,000 in the quarter ended Dec 31, 2022.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$1.78 million (quarter ended Mar 31, 2026), -$888,000 (quarter ended Dec 31, 2025) and -$1.74 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Nano-X Imaging | 26.86 Mn | -152.82 Mn | -43.67 Mn | 4.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.54 Mn |
| Mar 31, 2026 | -1.78 Mn |
| Dec 31, 2025 | 7.53 Mn |
| Sep 30, 2025 | -4.90 Mn |
| Jun 30, 2025 | 2.11 Mn |
| Mar 31, 2025 | -527,000.00 |
| Dec 31, 2024 | 4.50 Mn |
| Sep 30, 2024 | -734,000.00 |
| Jun 30, 2024 | -855,000.00 |
| Mar 31, 2024 | -141,000.00 |
| Dec 31, 2023 | 6.08 Mn |
| Sep 30, 2023 | -936,000.00 |
| Jun 30, 2023 | -344,000.00 |
| Mar 31, 2023 | -1.50 Mn |
| Dec 31, 2022 | 14.56 Mn |
| Sep 30, 2022 | -1.63 Mn |
| Jun 30, 2022 | -1.95 Mn |
| Mar 31, 2022 | -3.82 Mn |
| Dec 31, 2021 | 40.40 Mn |
| Sep 30, 2021 | -4.82 Mn |
API Access
Nano-X Imaging Capital Expenditures 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=capital-expenditures&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();