Nano-X Imaging (NNOX) Accounts Payables (2019 - 2026)
Nano-X Imaging (NNOX) reported Accounts Payables of $2.14 million for the quarter ended Jun 30, 2026, down 6.5% from $2.29 million a year earlier and down 10.7% from the prior quarter.
Nano-X Imaging (NNOX) Accounts Payables (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Nano-X Imaging posted Accounts Payables of $2.89 million, up 30.6% from the prior year.
- Accounts Payables has a five-year compound annual growth rate of 46.0% (years ended Dec 2020 to Dec 2025).
- By year, Accounts Payables came in at $2.21 million in the year ended Dec 31, 2024 (-33.1%), $3.3 million in the year ended Dec 31, 2023 (-8.7%), $3.62 million in the year ended Dec 31, 2022 (+15.5%) and $3.13 million in the year ended Dec 31, 2021 (+620.5%).
- Five-year quarterly Accounts Payables spans a low of $1.3 million in the quarter ended Sep 30, 2021 and a high of $5.59 billion in the quarter ended Sep 30, 2022.
- Year over year, Accounts Payables gained in five of the last eight quarters, with growth averaging 6.5%.
- The high point for year-over-year Accounts Payables in five years was the quarter ended Mar 31, 2022 (growth of 718.1%); 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 $2.39 million (quarter ended Mar 31, 2026), $2.89 million (quarter ended Dec 31, 2025) and $1.41 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.18 Bn | 231.21 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 177.87 Bn | 148.30 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 162.00 Bn | 145.81 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 153.99 Bn | 134.28 Bn | 2.08 Bn | 279.50 Mn |
| 5 | Medtronic | 122.39 Bn | 87.64 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 117.56 Bn | 103.67 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 66.88 Bn | 61.65 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 54.44 Bn | 51.58 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 51.45 Bn | 35.46 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Nano-X Imaging | 24.98 Mn | -154.69 Mn | -43.67 Mn | 2.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.14 Mn |
| Mar 31, 2026 | 2.39 Mn |
| Dec 31, 2025 | 2.89 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 2.29 Mn |
| Mar 31, 2025 | 1.94 Mn |
| Dec 31, 2024 | 2.21 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 | 3.62 Mn |
| Sep 30, 2022 | 5.59 Bn |
| Jun 30, 2022 | 1.86 Mn |
| Mar 31, 2022 | 3.71 Mn |
| Dec 31, 2021 | 3.13 Mn |
| Sep 30, 2021 | 1.30 Mn |
Nano-X Imaging Accounts 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=accounts-payables&ticker=NNOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=NNOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();