Nano-X Imaging (NNOX) Ending Cash Balance (2019 - 2026)
Analysis
Nano-X Imaging (NNOX) Ending Cash Balance (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Ending Cash Balance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 4.10 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | 3.02 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 753.00 Mn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 863.00 Mn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Nano-X Imaging | 24.83 Mn | -154.84 Mn | -43.67 Mn | 31.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.02 Mn |
| Mar 31, 2026 | 49.15 Mn |
| Dec 31, 2025 | 49.15 Mn |
| Sep 30, 2025 | 45.19 Mn |
| Jun 30, 2025 | 49.90 Mn |
| Mar 31, 2025 | 39.30 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 | 56.38 Mn |
| Sep 30, 2023 | 66.38 Mn |
| Jun 30, 2023 | 42.00 Mn |
| Mar 31, 2023 | 38.53 Mn |
| Dec 31, 2022 | 38.53 Mn |
| Sep 30, 2022 | 40.33 Mn |
| Jun 30, 2022 | 51.68 Mn |
| Mar 31, 2022 | 55.05 Mn |
| Dec 31, 2021 | 66.77 Mn |
| Sep 30, 2021 | 77.56 Mn |
API Access
Nano-X Imaging Ending Cash Balance 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=ending-cash-balance&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ending-cash-balance", "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=ending-cash-balance&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();