Nano-X Imaging (NNOX) Payables (2019 - 2026)
Nano-X Imaging (NNOX) reported Payables of $5.06 million for the quarter ended Jun 30, 2026, down 9.7% from $5.6 million a year earlier and down 5.8% from the prior quarter.
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Analysis
Nano-X Imaging (NNOX) Payables (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging posted Payables of $6.02 million, up 14.3% from the prior year.
- Payables has a five-year compound annual growth rate of 69.1% (years ended Dec 2020 to Dec 2025).
- By year, Payables came in at $5.27 million in the year ended Dec 31, 2024 (+59.6%), $3.3 million in the year ended Dec 31, 2023 (-58.0%), $7.87 million in the year ended Dec 31, 2022 (+140.0%) and $3.28 million in the year ended Dec 31, 2021 (+653.8%).
- Five-year quarterly Payables spans a low of $1.3 million in the quarter ended Sep 30, 2021 and a high of $5.73 billion in the quarter ended Sep 30, 2022.
- Year over year, Payables gained in six of the last eight quarters, with growth averaging 90.8%.
- The high point for year-over-year Payables in five years was the quarter ended Mar 31, 2022 (growth of 750.0%); the low point was the quarter ended Sep 30, 2023 (a decline of 100.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.37 million (quarter ended Mar 31, 2026), $6.02 million (quarter ended Dec 31, 2025) and $4.62 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Nano-X Imaging | 43.84 Mn | -135.83 Mn | -43.67 Mn | 5.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.06 Mn |
| Mar 31, 2026 | 5.37 Mn |
| Dec 31, 2025 | 6.02 Mn |
| Sep 30, 2025 | 4.62 Mn |
| Jun 30, 2025 | 5.60 Mn |
| Mar 31, 2025 | 5.01 Mn |
| Dec 31, 2024 | 5.27 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 1.57 Mn |
| Mar 31, 2024 | 1.86 Mn |
| Dec 31, 2023 | 3.30 Mn |
| Sep 30, 2023 | 1.63 Mn |
| Jun 30, 2023 | 3.97 Mn |
| Mar 31, 2023 | 3.72 Mn |
| Dec 31, 2022 | 7.87 Mn |
| Sep 30, 2022 | 5.73 Bn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 3.86 Mn |
| Dec 31, 2021 | 3.28 Mn |
| Sep 30, 2021 | 1.30 Mn |
API Access
Nano-X Imaging Payables 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=payables&ticker=NNOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();