Nano-X Imaging (NNOX) Total Liabilities (2019 - 2026)
Nano-X Imaging (NNOX) posted Total Liabilities of $18.72 million for the quarter ended Jun 30, 2026, down 9.5% from $20.67 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Total Liabilities (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging's Total Liabilities came in at $22.43 million, up 7.4% from the prior year.
- Annual Total Liabilities shows a five-year compound annual growth rate of 32.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Nano-X Imaging's Total Liabilities was $20.88 million in the year ended Dec 31, 2024 (-9.7%), $23.13 million in the year ended Dec 31, 2023 (-37.9%), $37.25 million in the year ended Dec 31, 2022 (-47.5%) and $71.02 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Total Liabilities since the quarter ended Sep 30, 2021.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 6.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was the quarter ended Jun 30, 2022, with growth of 791.0%; the weakest was the quarter ended Sep 30, 2023, with a decline of 99.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $19.46 million (quarter ended Mar 31, 2026), $22.43 million (quarter ended Dec 31, 2025) and $19.38 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | 18.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.72 Mn |
| Mar 31, 2026 | 19.46 Mn |
| Dec 31, 2025 | 22.43 Mn |
| Sep 30, 2025 | 19.38 Mn |
| Jun 30, 2025 | 20.67 Mn |
| Mar 31, 2025 | 19.57 Mn |
| Dec 31, 2024 | 20.88 Mn |
| Sep 30, 2024 | 20.05 Mn |
| Jun 30, 2024 | 20.59 Mn |
| Mar 31, 2024 | 20.92 Mn |
| Dec 31, 2023 | 23.13 Mn |
| Sep 30, 2023 | 29.28 Mn |
| Jun 30, 2023 | 31.35 Mn |
| Mar 31, 2023 | 32.24 Mn |
| Dec 31, 2022 | 37.25 Mn |
| Sep 30, 2022 | 57.85 Bn |
| Jun 30, 2022 | 55.45 Mn |
| Mar 31, 2022 | 70.21 Mn |
| Dec 31, 2021 | 71.02 Mn |
| Sep 30, 2021 | 9.93 Mn |
API Access
Nano-X Imaging Total 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=total-liabilities&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();