NewcelX (NCEL) Shares Outstanding (Diluted) (2020 - 2026)
NewcelX's Shares Outstanding (Diluted) came in at 3.84 million for Q2 2026, compared with 154,328 a year earlier.
Analysis
NewcelX (NCEL) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Going back to Q4 2020, NewcelX's Shares Outstanding (Diluted) data covers 12 quarters.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 40.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 154,328 in FY2024 (-96.0%), 3.82 million in FY2023 (+94.0%), 1.97 million in FY2022 (+65.4%) and 1.19 million in FY2021 (+71.0%).
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2024 (growth of 94.0%), and the weakest in Q4 2024 (a decline of 96.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | NewcelX | 11.11 Mn | 11.11 Mn | - | 3.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.84 Mn |
| Dec 31, 2025 | 3.84 Mn |
| Jun 30, 2025 | 154,328.00 |
| Dec 31, 2024 | 154,328.00 |
| Jun 30, 2024 | 3.82 Mn |
| Dec 31, 2023 | 3.82 Mn |
| Jun 30, 2023 | 1.97 Mn |
| Dec 31, 2022 | 1.97 Mn |
| Jun 30, 2022 | 1.19 Mn |
| Dec 31, 2021 | 1.19 Mn |
| Jun 30, 2021 | 696,000.00 |
| Dec 31, 2020 | 696,000.00 |
API Access
NewcelX Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=NCEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=NCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();