NewcelX (NCEL) Non-Current Assets (2019 - 2026)
NewcelX's Non-Current Assets came in at $8.25 million for Q2 2026, compared with $106,000 a year earlier.
Analysis
NewcelX (NCEL) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, NewcelX's Non-Current Assets was $8.26 million.
- Non-Current Assets carries a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $123,000 in FY2024 (-82.7%), $710,000 in FY2023 (-50.7%), $1.44 million in FY2022 and $41,554 in FY2021 (-95.9%).
- The five-year range for quarterly Non-Current Assets is $35,541 (Q2 2022) to $8.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.10 Bn | 1,100.69 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 615.67 Bn | 534.20 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 504.61 Bn | 477.72 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 368.03 Bn | 322.41 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.24 Bn | 262.23 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.77 Bn | 235.46 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.81 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 159.77 Bn |
| 10 | NewcelX | 10.92 Mn | 4.26 Mn | - | 8.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.25 Mn |
| Dec 31, 2025 | 8.26 Mn |
| Jun 30, 2025 | 106,000.00 |
| Dec 31, 2024 | 123,000.00 |
| Jun 30, 2024 | 259,000.00 |
| Dec 31, 2023 | 710,000.00 |
| Jun 30, 2023 | 1.05 Mn |
| Dec 31, 2022 | 1.44 Mn |
| Jun 30, 2022 | 35,541.00 |
| Dec 31, 2021 | 41,554.00 |
| Jun 30, 2021 | 27,733.00 |
| Dec 31, 2020 | 1.01 Mn |
| Dec 31, 2019 | 314,683.00 |
API Access
NewcelX Non-Current Assets 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=non-current-assets&ticker=NCEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=NCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();