NewcelX (NCEL) Accumulated Expenses (2019 - 2026)
NewcelX (NCEL) recorded Accumulated Expenses of $349,000 in Q2 2026.
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Analysis
NewcelX (NCEL) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, NewcelX reported Accumulated Expenses of $880,000, up 502.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $146,000 in FY2024 (+298.4%), $36,643 in FY2023 (-96.3%), $986,437 in FY2022 (+48.0%) and $666,449 in FY2021 (+45.1%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q4 2024.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 502.7% in Q4 2025, against a decline of 97.2% in Q2 2024 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | NewcelX | 11.15 Mn | 11.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 349,000.00 |
| Dec 31, 2025 | 880,000.00 |
| Dec 31, 2024 | 146,000.00 |
| Jun 30, 2024 | 21,722.00 |
| Dec 31, 2023 | 36,643.00 |
| Jun 30, 2023 | 779,349.00 |
| Dec 31, 2022 | 986,437.00 |
| Jun 30, 2022 | 534,600.00 |
| Dec 31, 2021 | 666,449.00 |
| Jun 30, 2021 | 665,648.00 |
| Dec 31, 2020 | 459,195.00 |
| Dec 31, 2019 | 102,950.00 |
API Access
NewcelX 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=accumulated-expenses&ticker=NCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=NCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();