Nano-X Imaging (NNOX) Cash from Financing Activities (2021 - 2025)
Nano-X Imaging's Cash from Financing Activities came in at $15.51 million for the quarter ended Dec 31, 2025, down 59.0% from $37.84 million a year earlier but up 170.4% from the prior quarter.
Nano-X Imaging (NNOX) Cash from Financing Activities (2021 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Nano-X Imaging's Cash from Financing Activities was $21.37 million, down 45.9% from the prior year.
- Cash from Financing Activities carries a five-year compound annual growth rate of -38.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Cash from Financing Activities was $39.5 million in the year ended Dec 31, 2024 (+45.0%), $27.25 million in the year ended Dec 31, 2023, $804,000 in the year ended Dec 31, 2022 (-89.1%) and $7.38 million in the year ended Dec 31, 2021 (-96.9%).
- The five-year range for quarterly Cash from Financing Activities is -$11.99 million (the quarter ended Jun 30, 2021) to $37.84 million (the quarter ended Dec 31, 2024).
- Year-over-year, Cash from Financing Activities increased in two of the last five quarters, with growth averaging 83.7%.
- The fastest year-over-year change in Cash from Financing Activities over five years came in the quarter ended Mar 31, 2025 (growth of 404.2%), and the weakest in the quarter ended Mar 31, 2022 (a decline of 97.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Financing (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | -1.57 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | -3.52 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 7.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | -287.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -343.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -95.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | -410.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | -300,000.00 |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | -577.00 Mn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15.51 Mn |
| Sep 30, 2025 | 5.74 Mn |
| Mar 31, 2025 | 121,000.00 |
| Dec 31, 2024 | 37.84 Mn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 21,000.00 |
| Mar 31, 2024 | 24,000.00 |
| Dec 31, 2023 | 33,000.00 |
| Sep 30, 2023 | 27.41 Mn |
| Jun 30, 2023 | -371,000.00 |
| Mar 31, 2023 | 176,000.00 |
| Dec 31, 2022 | 174,000.00 |
| Sep 30, 2022 | 105,000.00 |
| Jun 30, 2022 | 138,000.00 |
| Mar 31, 2022 | 387,000.00 |
| Dec 31, 2021 | 1.04 Mn |
| Sep 30, 2021 | 2.44 Mn |
| Jun 30, 2021 | -11.99 Mn |
| Mar 31, 2021 | 15.89 Mn |
Nano-X Imaging Cash from Financing Activities 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-from-financing-activities&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-financing-activities", "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-from-financing-activities&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();