Nano-X Imaging (NNOX) Cost of Revenue (2022 - 2026)
Nano-X Imaging (NNOX) recorded Cost of Revenue of $7.14 million in the quarter ended Jun 30, 2026, up 13.6% from $6.28 million a year earlier and up 3.4% from the prior quarter.
Nano-X Imaging (NNOX) Cost of Revenue (2022 - 2026) Analysis & Trends
On a TTM basis, Nano-X Imaging's Cost of Revenue came in at $27.7 million as of Jun 30, 2026, up 16.0% year-over-year; for the year ended Dec 31, 2025, it was $25.81 million, up 17.9% from the prior year.
- Annual Cost of Revenue has increased for four straight years, with a four-year compound annual growth rate of 74.0% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Cost of Revenue came in at $21.89 million in the year ended Dec 31, 2024 (+32.7%), $16.5 million in the year ended Dec 31, 2023 (+6.7%), $15.46 million in the year ended Dec 31, 2022 (+448.9%) and $2.82 million in the year ended Dec 31, 2021.
- Quarterly Cost of Revenue has ranged from $3.73 million in the quarter ended Mar 31, 2022 to $7.34 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for 14 consecutive quarters, with growth averaging 23.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 6.0% in the quarter ended Dec 31, 2023 to 43.2% in the quarter ended Dec 31, 2024.
- Per Business Quant, the preceding three quarters came in at $6.9 million (quarter ended Mar 31, 2026), $7.34 million (quarter ended Dec 31, 2025) and $6.33 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Nano-X Imaging | 44.54 Mn | -135.14 Mn | -43.67 Mn | 7.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.14 Mn |
| Mar 31, 2026 | 6.90 Mn |
| Dec 31, 2025 | 7.34 Mn |
| Sep 30, 2025 | 6.33 Mn |
| Jun 30, 2025 | 6.28 Mn |
| Mar 31, 2025 | 5.86 Mn |
| Dec 31, 2024 | 5.89 Mn |
| Sep 30, 2024 | 5.84 Mn |
| Jun 30, 2024 | 5.55 Mn |
| Mar 31, 2024 | 4.61 Mn |
| Dec 31, 2023 | 4.11 Mn |
| Sep 30, 2023 | 4.14 Mn |
| Jun 30, 2023 | 4.27 Mn |
| Mar 31, 2023 | 3.97 Mn |
| Dec 31, 2022 | 3.88 Mn |
| Sep 30, 2022 | 3.90 Mn |
| Jun 30, 2022 | 3.96 Mn |
| Mar 31, 2022 | 3.73 Mn |
Nano-X Imaging Cost of Revenue 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=cost-of-revenue&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();