Nano-X Imaging (NNOX) Retained Earnings (2019 - 2026)
Nano-X Imaging (NNOX) reported Retained Earnings of -$518.52 million for the quarter ended Jun 30, 2026, compared with -$401.71 million a year earlier.
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Analysis
Nano-X Imaging (NNOX) Retained Earnings (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging posted Retained Earnings of -$448.77 million.
- By year, Retained Earnings came in at -$373.75 million in the year ended Dec 31, 2024, -$320.23 million in the year ended Dec 31, 2023, -$259.46 million in the year ended Dec 31, 2022 and -$146.21 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Retained Earnings since the quarter ended Sep 30, 2022.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$463.03 million (quarter ended Mar 31, 2026), -$448.77 million (quarter ended Dec 31, 2025) and -$415.39 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 14.86 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Nano-X Imaging | 45.93 Mn | -133.74 Mn | -43.67 Mn | -518.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -518.52 Mn |
| Mar 31, 2026 | -463.03 Mn |
| Dec 31, 2025 | -448.77 Mn |
| Sep 30, 2025 | -415.39 Mn |
| Jun 30, 2025 | -401.71 Mn |
| Mar 31, 2025 | -386.99 Mn |
| Dec 31, 2024 | -373.75 Mn |
| Sep 30, 2024 | -359.69 Mn |
| Jun 30, 2024 | -346.05 Mn |
| Mar 31, 2024 | -332.47 Mn |
| Dec 31, 2023 | -320.23 Mn |
| Sep 30, 2023 | -309.99 Mn |
| Jun 30, 2023 | -288.58 Mn |
| Mar 31, 2023 | -271.22 Mn |
| Dec 31, 2022 | -259.46 Mn |
| Sep 30, 2022 | -206.62 Bn |
| Jun 30, 2022 | -187.49 Mn |
| Mar 31, 2022 | -167.88 Mn |
| Dec 31, 2021 | -146.21 Mn |
| Sep 30, 2021 | -124.18 Mn |
API Access
Nano-X Imaging Retained Earnings 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=retained-earnings&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();