Nano-X Imaging (NNOX) Other Non-Current Liabilities (2021 - 2026)
Nano-X Imaging (NNOX) recorded Other Non-Current Liabilities of $673,000 in the quarter ended Jun 30, 2026, down 20.4% from $845,000 a year earlier and down 32.1% from the prior quarter.
Nano-X Imaging (NNOX) Other Non-Current Liabilities (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging reported Other Non-Current Liabilities of $990,000, up 42.4% from the prior year.
- Annual Other Non-Current Liabilities has increased for four straight years, with a four-year compound annual growth rate of 43.6% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Other Non-Current Liabilities came in at $695,000 in the year ended Dec 31, 2024 (+13.6%), $612,000 in the year ended Dec 31, 2023 (+26.7%), $483,000 in the year ended Dec 31, 2022 (+107.3%) and $233,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Other Non-Current Liabilities since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Other Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 22.6%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 241.5% in the quarter ended Mar 31, 2022, against a decline of 99.0% in the quarter ended Sep 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $991,000 (quarter ended Mar 31, 2026), $990,000 (quarter ended Dec 31, 2025) and $961,000 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 673,000.00 |
| Mar 31, 2026 | 991,000.00 |
| Dec 31, 2025 | 990,000.00 |
| Sep 30, 2025 | 961,000.00 |
| Jun 30, 2025 | 845,000.00 |
| Mar 31, 2025 | 744,000.00 |
| Dec 31, 2024 | 695,000.00 |
| Sep 30, 2024 | 695,000.00 |
| Jun 30, 2024 | 642,000.00 |
| Mar 31, 2024 | 629,000.00 |
| Dec 31, 2023 | 612,000.00 |
| Sep 30, 2023 | 560,000.00 |
| Jun 30, 2023 | 558,000.00 |
| Mar 31, 2023 | 497,000.00 |
| Dec 31, 2022 | 483,000.00 |
| Sep 30, 2022 | 54.00 Mn |
| Jun 30, 2022 | 264,000.00 |
| Mar 31, 2022 | 222,000.00 |
| Dec 31, 2021 | 233,000.00 |
| Sep 30, 2021 | 155,000.00 |
Nano-X Imaging Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();