Nano-X Imaging (NNOX) Cash & Equivalents (2019 - 2026)
Nano-X Imaging (NNOX) reported Cash & Equivalents of $31.02 million for the quarter ended Jun 30, 2026, down 37.8% from $49.9 million a year earlier and down 29.3% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Cash & Equivalents (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging posted Cash & Equivalents of $49.15 million, up 25.1% from the prior year.
- Cash & Equivalents has a five-year compound annual growth rate of -25.5% (years ended Dec 2020 to Dec 2025).
- By year, Cash & Equivalents came in at $39.3 million in the year ended Dec 31, 2024 (-30.3%), $56.38 million in the year ended Dec 31, 2023 (-15.6%), $66.77 million in the year ended Dec 31, 2022 (-68.8%) and $213.78 million in the year ended Dec 31, 2021 (unchanged).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Cash & Equivalents since the quarter ended Dec 31, 2019.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with an average decline of 3.4%.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Mar 31, 2024 (growth of 46.3%); the low point was the quarter ended Sep 30, 2023 (a decline of 99.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $43.86 million (quarter ended Mar 31, 2026), $49.15 million (quarter ended Dec 31, 2025) and $45.19 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Nano-X Imaging | 44.54 Mn | -135.14 Mn | -43.67 Mn | 31.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.02 Mn |
| Mar 31, 2026 | 43.86 Mn |
| Dec 31, 2025 | 49.15 Mn |
| Sep 30, 2025 | 45.19 Mn |
| Jun 30, 2025 | 49.90 Mn |
| Mar 31, 2025 | 40.37 Mn |
| Dec 31, 2024 | 39.30 Mn |
| Sep 30, 2024 | 38.19 Mn |
| Jun 30, 2024 | 38.98 Mn |
| Mar 31, 2024 | 56.38 Mn |
| Dec 31, 2023 | 38.53 Mn |
| Sep 30, 2023 | 66.74 Mn |
| Jun 30, 2023 | 42.06 Mn |
| Mar 31, 2023 | 38.53 Mn |
| Dec 31, 2022 | 66.77 Mn |
| Sep 30, 2022 | 40.33 Bn |
| Jun 30, 2022 | 51.80 Mn |
| Mar 31, 2022 | 55.05 Mn |
| Dec 31, 2021 | 213.78 Mn |
| Sep 30, 2021 | 77.56 Mn |
API Access
Nano-X Imaging Cash & Equivalents 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=cash-and-equivalents&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();