NovelStem International (NSTM) Shares Outstanding (2010 - 2026)
NovelStem International (NSTM) posted Shares Outstanding of 49.33 million for Q2 2026, up 5.2% from 46.88 million a year earlier and up 4.1% from the prior quarter.
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Analysis
NovelStem International (NSTM) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, NovelStem International's Shares Outstanding came in at 46.88 million, unchanged from FY2024.
- Annual Shares Outstanding shows a four-year compound annual growth rate of 1.4% (FY2021 to FY2025).
- In prior years, NovelStem International's Shares Outstanding was 46.88 million in FY2024 (unchanged), 46.88 million in FY2023 (unchanged), 46.88 million in FY2022 (+5.9%) and 44.26 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q2 2010.
- On a year-over-year basis, Shares Outstanding increased in two of the last seven quarters, with growth averaging 0.9%.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.0% in Q4 2023 to 6.8% in Q3 2022.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 47.38 million (Q1 2026), 46.88 million (Q4 2025) and 46.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 892.40 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.41 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 540.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 5.70 Bn |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - | 49.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.33 Mn |
| Mar 31, 2026 | 47.38 Mn |
| Dec 31, 2025 | 46.88 Mn |
| Sep 30, 2025 | 46.88 Mn |
| Jun 30, 2025 | 46.88 Mn |
| Mar 31, 2025 | 46.88 Mn |
| Dec 31, 2024 | 46.88 Mn |
| Sep 30, 2024 | 46.88 Mn |
| Jun 30, 2024 | 46.88 Mn |
| Mar 31, 2024 | 46.88 Mn |
| Dec 31, 2023 | 46.88 Mn |
| Sep 30, 2023 | 46.88 Mn |
| Jun 30, 2023 | 46.88 Mn |
| Mar 31, 2023 | 46.88 Mn |
| Dec 31, 2022 | 46.88 Mn |
| Sep 30, 2022 | 46.88 Mn |
| Jun 30, 2022 | 46.88 Mn |
| Mar 31, 2022 | 46.88 Mn |
| Dec 31, 2021 | 44.26 Mn |
| Sep 30, 2021 | 43.88 Mn |
API Access
NovelStem International Shares Outstanding 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&ticker=NSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "NSTM", "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&ticker=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();