NewcelX (NCEL) Other Accumulated Expenses (2019 - 2025)
NewcelX (NCEL) recorded Other Accumulated Expenses of $434,069 in Q2 2025, down 69.4% from $1.42 million a year earlier.
Analysis
NewcelX (NCEL) Other Accumulated Expenses (2019 - 2025) Analysis & Trends
At the end of FY2024, NewcelX reported Other Accumulated Expenses of $311,278, down 81.2% from FY2023.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 12.8% (FY2019 to FY2024).
- Across earlier years, Other Accumulated Expenses came in at $1.65 million in FY2023, $13,000 in FY2022 (+89.0%), $6,877 in FY2021 (-97.8%) and $316,174 in FY2020 (+85.7%).
- Quarterly Other Accumulated Expenses has ranged from -$81,000 in Q4 2023 to $1.42 million in Q2 2024 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | NewcelX | 10.76 Mn | 10.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 434,069.00 |
| Dec 31, 2024 | 311,278.00 |
| Jun 30, 2024 | 1.42 Mn |
| Dec 31, 2023 | -81,000.00 |
| Jun 30, 2023 | 986,437.00 |
| Dec 31, 2022 | 13,000.00 |
| Jun 30, 2022 | 666,449.00 |
| Dec 31, 2021 | 6,877.00 |
| Jun 30, 2021 | 665,648.00 |
| Dec 31, 2020 | 316,174.00 |
| Dec 31, 2019 | 170,268.00 |
API Access
NewcelX Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NCEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();