Niagen Bioscience (NAGE) Shares Outstanding (2009 - 2026)
Niagen Bioscience (NAGE) reported Shares Outstanding of 79.32 million for Q2 2026, up 0.1% from 79.25 million a year earlier but down 0.7% from the prior quarter.
Niagen Bioscience (NAGE) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Niagen Bioscience posted Shares Outstanding of 79.18 million, up 4.3% from FY2024.
- Shares Outstanding has increased for six consecutive years, with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 75.93 million in FY2024 (+1.3%), 74.99 million in FY2023 (+7.5%), 69.73 million in FY2022 (+3.8%) and 67.19 million in FY2021 (+10.0%).
- Five-year quarterly Shares Outstanding spans a low of 67.19 million in Q4 2021 and a high of 79.92 million in Q1 2026.
- Year over year, Shares Outstanding has now increased in each of the last 24 quarters, with growth averaging 2.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.1% (Q2 2026) to 10.6% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at 79.92 million (Q1 2026), 79.18 million (Q4 2025) and 79.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 796.90 Mn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 363.30 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 332.60 Mn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 237.10 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 121.62 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 59.03 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 210.80 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 | 79.32 Mn |
| Mar 31, 2026 | 79.92 Mn |
| Dec 31, 2025 | 79.18 Mn |
| Sep 30, 2025 | 79.78 Mn |
| Jun 30, 2025 | 79.25 Mn |
| Mar 31, 2025 | 77.81 Mn |
| Dec 31, 2024 | 75.93 Mn |
| Sep 30, 2024 | 75.97 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 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=NAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=NAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();