Nano-X Imaging (NNOX) Operating Leases (2019 - 2026)
Nano-X Imaging (NNOX) posted Operating Leases of $3.83 million for the quarter ended Jun 30, 2026, up 2.7% from $3.73 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging's Operating Leases came in at $3.77 million, up 3.4% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 32.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Nano-X Imaging's Operating Leases was $3.64 million in the year ended Dec 31, 2024 (-10.0%), $4.05 million in the year ended Dec 31, 2023 (+916.3%), $398,000 in the year ended Dec 31, 2022 (-58.1%) and $950,000 in the year ended Dec 31, 2021 (+2.9%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Operating Leases since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Operating Leases has increased in each of the last five quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Dec 31, 2023, with growth of 916.3%; the weakest was the quarter ended Sep 30, 2023, with a decline of 99.8%.
- According to Business Quant data, Operating Leases for the three prior quarters was $3.71 million (quarter ended Mar 31, 2026), $3.77 million (quarter ended Dec 31, 2025) and $3.74 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 | 3.83 Mn |
| Mar 31, 2026 | 3.71 Mn |
| Dec 31, 2025 | 3.77 Mn |
| Sep 30, 2025 | 3.74 Mn |
| Jun 30, 2025 | 3.73 Mn |
| Mar 31, 2025 | 3.52 Mn |
| Dec 31, 2024 | 3.64 Mn |
| Sep 30, 2024 | 3.66 Mn |
| Jun 30, 2024 | 3.68 Mn |
| Mar 31, 2024 | 3.82 Mn |
| Dec 31, 2023 | 4.05 Mn |
| Sep 30, 2023 | 2.29 Mn |
| Jun 30, 2023 | 783,000.00 |
| Mar 31, 2023 | 867,000.00 |
| Dec 31, 2022 | 398,000.00 |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 774,000.00 |
| Mar 31, 2022 | 951,000.00 |
| Dec 31, 2021 | 950,000.00 |
| Sep 30, 2021 | 599,000.00 |
API Access
Nano-X Imaging Operating Leases 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=operating-leases&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();