Niagen Bioscience (NAGE) Shares Outstanding (Diluted) (2009 - 2026)
Niagen Bioscience (NAGE) posted Shares Outstanding (Diluted) of 82.5 million for Q2 2026, down 4.3% from 86.24 million a year earlier and down 2.4% from the prior quarter.
Niagen Bioscience (NAGE) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Niagen Bioscience's Shares Outstanding (Diluted) came in at 85.44 million, up 9.4% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In prior years, Niagen Bioscience's Shares Outstanding (Diluted) was 78.13 million in FY2024 (+4.2%), 74.99 million in FY2023 (+7.5%), 69.73 million in FY2022 (+3.8%) and 67.19 million in FY2021 (+10.0%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 6.3%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q2 2025, with growth of 14.1%; the weakest was Q2 2026, with a decline of 4.3%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 84.57 million (Q1 2026), 85.44 million (Q4 2025) and 86.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 2.41 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 799.70 Mn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 366.10 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.93 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 333.70 Mn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 238.70 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 122.03 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 60.09 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 211.80 Mn |
| 10 | Niagen Bioscience | 169.91 Mn | -97.67 Mn | 17.11 Mn | 79.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.15 Mn |
| Jun 30, 2026 | 82.50 Mn |
| Mar 31, 2026 | 84.57 Mn |
| Dec 31, 2025 | 85.44 Mn |
| Sep 30, 2025 | 86.62 Mn |
| Jun 30, 2025 | 86.24 Mn |
| Mar 31, 2025 | 83.23 Mn |
| Dec 31, 2024 | 78.13 Mn |
| Sep 30, 2024 | 77.77 Mn |
| Jun 30, 2024 | 75.56 Mn |
| Mar 31, 2024 | 75.23 Mn |
| Dec 31, 2023 | 74.99 Mn |
| Sep 30, 2023 | 75.05 Mn |
| Jun 30, 2023 | 74.97 Mn |
| Mar 31, 2023 | 74.80 Mn |
| Dec 31, 2022 | 69.73 Mn |
| Sep 30, 2022 | 68.35 Mn |
| Jun 30, 2022 | 68.34 Mn |
| Mar 31, 2022 | 68.31 Mn |
| Dec 31, 2021 | 67.19 Mn |
Niagen Bioscience 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=NAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NAGE", "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=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();