Nano-X Imaging (NNOX) Tax Provisions (2022 - 2026)
Nano-X Imaging (NNOX) posted Tax Provisions of $51,000 for the quarter ended Jun 30, 2026, compared with -$82,000 a year earlier.
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Analysis
Nano-X Imaging (NNOX) Tax Provisions (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Nano-X Imaging was $1.76 million, up 818.2% year-over-year; for the year ended Dec 31, 2025, it was $1.79 million, up 400.6% from the prior year.
- Annual Tax Provisions shows a four-year compound annual growth rate of 147.2% (years ended Dec 2021 to Dec 2025).
- In prior years, Nano-X Imaging's Tax Provisions was $358,000 in the year ended Dec 31, 2024 (+5.6%), $339,000 in the year ended Dec 31, 2023 (-90.8%), $3.68 million in the year ended Dec 31, 2022 and $48,000 in the year ended Dec 31, 2021.
- Quarterly Tax Provisions has run from a low of -$82,000 in the quarter ended Jun 30, 2025 to a high of $2.1 million in the quarter ended Jun 30, 2022 over five years.
- On a year-over-year basis, Tax Provisions increased in two of the last four quarters, with growth averaging 7.4%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was the quarter ended Dec 31, 2024, with growth of 19.0%; the weakest was the quarter ended Jun 30, 2023, with a decline of 95.9%.
- According to Business Quant data, Tax Provisions for the three prior quarters was -$76,000 (quarter ended Mar 31, 2026), $1.69 million (quarter ended Dec 31, 2025) and $94,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 278.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 102.00 Mn |
| 10 | Nano-X Imaging | 48.02 Mn | -131.66 Mn | -43.67 Mn | 51,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51,000.00 |
| Mar 31, 2026 | -76,000.00 |
| Dec 31, 2025 | 1.69 Mn |
| Sep 30, 2025 | 94,000.00 |
| Jun 30, 2025 | -82,000.00 |
| Mar 31, 2025 | 86,000.00 |
| Dec 31, 2024 | 94,000.00 |
| Sep 30, 2024 | 94,000.00 |
| Jun 30, 2024 | 76,000.00 |
| Mar 31, 2024 | 94,000.00 |
| Dec 31, 2023 | 79,000.00 |
| Sep 30, 2023 | 79,000.00 |
| Jun 30, 2023 | 87,000.00 |
| Mar 31, 2023 | 94,000.00 |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | 398,000.00 |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 150,000.00 |
API Access
Nano-X Imaging Tax Provisions 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=tax-provisions&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();