Nano-X Imaging (NNOX) Net Cash Flow (2021 - 2026)
Nano-X Imaging's Net Cash Flow was -$12.49 million in the quarter ended Jun 30, 2026, compared with $9.64 million a year earlier.
Nano-X Imaging (NNOX) Net Cash Flow (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nano-X Imaging's Net Cash Flow was -$18.51 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was $9.95 million.
- Net Cash Flow shows a five-year compound annual growth rate of -45.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Net Cash Flow was -$17.15 million in the year ended Dec 31, 2024, $17.91 million in the year ended Dec 31, 2023, -$27.98 million in the year ended Dec 31, 2022 and -$147 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Net Cash Flow since the quarter ended Sep 30, 2021.
- Per Business Quant data, NNOX's Net Cash Flow in the three quarters before the quarter ended Jun 30, 2026 was -$5.27 million (quarter ended Mar 31, 2026), $3.99 million (quarter ended Dec 31, 2025) and -$4.74 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 718.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | -1.70 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | -1.34 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 746.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -169.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 527.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | -892.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 458.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | -42.00 Mn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn | -12.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.49 Mn |
| Mar 31, 2026 | -5.27 Mn |
| Dec 31, 2025 | 3.99 Mn |
| Sep 30, 2025 | -4.74 Mn |
| Jun 30, 2025 | 9.64 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.06 Mn |
| Sep 30, 2024 | -771,000.00 |
| Jun 30, 2024 | -5.95 Mn |
| Mar 31, 2024 | -11.49 Mn |
| Dec 31, 2023 | -10.21 Mn |
| Sep 30, 2023 | 24.61 Mn |
| Jun 30, 2023 | 4.39 Mn |
| Mar 31, 2023 | -882,000.00 |
| Dec 31, 2022 | -1.69 Mn |
| Sep 30, 2022 | -11.44 Mn |
| Jun 30, 2022 | -3.16 Mn |
| Mar 31, 2022 | -11.69 Mn |
| Dec 31, 2021 | -10.78 Mn |
| Sep 30, 2021 | -39.30 Mn |
Nano-X Imaging Net Cash Flow 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=net-cash-flow&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();