Nano-X Imaging (NNOX) Receivables - Net (2021 - 2026)
Nano-X Imaging (NNOX) reported Receivables - Net of $2.01 million for the quarter ended Jun 30, 2026, up 7.1% from $1.88 million a year earlier but down 8.9% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Receivables - Net (2021 - 2026) Analysis & Trends
Dating back to the quarter ended Dec 31, 2021, Nano-X Imaging's Receivables - Net record includes 19 quarters.
- Receivables - Net has increased for three consecutive years, with a four-year compound annual growth rate of 17.6% (years ended Dec 2021 to Dec 2025).
- By year, Receivables - Net came in at $1.81 million in the year ended Dec 31, 2024 (+21.6%), $1.48 million in the year ended Dec 31, 2023 (+51.9%), $977,000 in the year ended Dec 31, 2022 (-7.0%) and $1.05 million in the year ended Dec 31, 2021.
- Five-year quarterly Receivables - Net spans a low of $977,000 in the quarter ended Dec 31, 2022 and a high of $2.21 million in the quarter ended Mar 31, 2026.
- Year over year, Receivables - Net has now increased in each of the last 14 quarters, with growth averaging 20.9% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was the quarter ended Dec 31, 2023 (growth of 51.9%); the low point was the quarter ended Dec 31, 2022 (a decline of 7.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.21 million (quarter ended Mar 31, 2026), $2.01 million (quarter ended Dec 31, 2025) and $1.94 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 2.01 Mn |
| Sep 30, 2025 | 1.94 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 1.81 Mn |
| Dec 31, 2024 | 1.81 Mn |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2024 | 1.48 Mn |
| Dec 31, 2023 | 1.48 Mn |
| Sep 30, 2023 | 1.16 Mn |
| Jun 30, 2023 | 1.43 Mn |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 977,000.00 |
| Sep 30, 2022 | 1.12 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | 1.09 Mn |
| Dec 31, 2021 | 1.05 Mn |
API Access
Nano-X Imaging Receivables - Net 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=receivables-net&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();