NewcelX (NCEL) Receivables - Net (2019 - 2025)
NewcelX (NCEL) reported Receivables - Net of $56,000 for Q2 2025, down 88.6% from $493,000 a year earlier.
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Analysis
NewcelX (NCEL) Receivables - Net (2019 - 2025) Analysis & Trends
At the end of FY2024, NewcelX posted Receivables - Net of $130,000, down 71.2% from FY2023.
- Receivables - Net has a five-year compound annual growth rate of 19.0% (FY2019 to FY2024).
- By year, Receivables - Net came in at $451,000 in FY2023 (+54.5%), $292,000 in FY2022 and $67,954 in FY2020 (+24.8%).
- The Q2 2025 figure ranks as the lowest quarterly Receivables - Net since Q4 2019.
- Year over year, Receivables - Net gained in two of the last four quarters, with an average decline of 20.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | NewcelX | 11.22 Mn | 11.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 56,000.00 |
| Dec 31, 2024 | 130,000.00 |
| Jun 30, 2024 | 493,000.00 |
| Dec 31, 2023 | 451,000.00 |
| Jun 30, 2023 | 399,000.00 |
| Dec 31, 2022 | 292,000.00 |
| Dec 31, 2020 | 67,954.00 |
| Dec 31, 2019 | 54,472.00 |
API Access
NewcelX 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=NCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "NCEL", "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=NCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();