Nano-X Imaging (NNOX) Total Debt (2019 - 2026)
Nano-X Imaging (NNOX) recorded Total Debt of $3 million in the quarter ended Jun 30, 2026, down 9.5% from $3.32 million a year earlier and down 3.3% from the prior quarter.
Nano-X Imaging (NNOX) Total Debt (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging reported Total Debt of $3.31 million, down 84.6% from the prior year.
- Annual Total Debt has a five-year compound annual growth rate of 44.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Debt came in at $21.55 million in the year ended Dec 31, 2024 (+184.3%), $7.58 million in the year ended Dec 31, 2023 (-9.1%), $8.34 million in the year ended Dec 31, 2022 (+21.9%) and $6.84 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Total Debt since the quarter ended Sep 30, 2021.
- On a year-over-year basis, Total Debt rose in four of the last eight quarters, with growth averaging 10.2%.
- Peak year-over-year performance for Total Debt in the last five years was growth of 898.2% in the quarter ended Jun 30, 2022, against a decline of 99.9% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.1 million (quarter ended Mar 31, 2026), $3.31 million (quarter ended Dec 31, 2025) and $3.21 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 3.10 Mn |
| Dec 31, 2025 | 3.31 Mn |
| Sep 30, 2025 | 3.21 Mn |
| Jun 30, 2025 | 3.32 Mn |
| Mar 31, 2025 | 3.07 Mn |
| Dec 31, 2024 | 21.55 Mn |
| Sep 30, 2024 | 3.41 Mn |
| Jun 30, 2024 | 3.23 Mn |
| Mar 31, 2024 | 3.34 Mn |
| Dec 31, 2023 | 7.58 Mn |
| Sep 30, 2023 | 3.35 Mn |
| Jun 30, 2023 | 3.43 Mn |
| Mar 31, 2023 | 3.45 Mn |
| Dec 31, 2022 | 8.34 Mn |
| Sep 30, 2022 | 5.80 Bn |
| Jun 30, 2022 | 6.11 Mn |
| Mar 31, 2022 | 8.13 Mn |
| Dec 31, 2021 | 6.84 Mn |
| Sep 30, 2021 | 623,000.00 |
Nano-X Imaging Total Debt 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=total-debt&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();