Reynolds Consumer Products (REYN) Shares Outstanding (Entity) (2018 - 2026)
Reynolds Consumer Products (REYN) posted Shares Outstanding (Entity) of 210.3 million for Q3 2026, unchanged from 210.3 million a year earlier and down 0.2% from the prior quarter.
Reynolds Consumer Products (REYN) Shares Outstanding (Entity) (2018 - 2026) Analysis & Trends
For FY2025, Reynolds Consumer Products' Shares Outstanding (Entity) came in at 210.7 million, up 0.2% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, Reynolds Consumer Products' Shares Outstanding (Entity) was 210.3 million in FY2024 (+0.1%), 210.1 million in FY2023 (unchanged), 210 million in FY2022 (unchanged) and 210 million in FY2021 (unchanged).
- Quarterly Shares Outstanding (Entity) has run from a low of 210 million in Q4 2021 to a high of 210.8 million in Q2 2026 over five years.
- On a year-over-year basis, Shares Outstanding (Entity) increased in seven of the last eight quarters, with growth averaging 0.1%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 210.8 million (Q2 2026), 210.7 million (Q1 2026) and 210.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 794.92 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 363.30 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 332.61 Mn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 236.03 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 120.94 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 59.08 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 210.30 Mn |
| 10 | Bath & Body Works | 4.32 Bn | 2.11 Bn | 692.00 Mn | 202.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 210.30 Mn |
| Jun 30, 2026 | 210.80 Mn |
| Mar 31, 2026 | 210.70 Mn |
| Dec 31, 2025 | 210.70 Mn |
| Sep 30, 2025 | 210.30 Mn |
| Jun 30, 2025 | 210.30 Mn |
| Mar 31, 2025 | 210.30 Mn |
| Dec 31, 2024 | 210.30 Mn |
| Sep 30, 2024 | 210.10 Mn |
| Jun 30, 2024 | 210.10 Mn |
| Mar 31, 2024 | 210.10 Mn |
| Dec 31, 2023 | 210.10 Mn |
| Sep 30, 2023 | 210.00 Mn |
| Jun 30, 2023 | 210.00 Mn |
| Mar 31, 2023 | 210.00 Mn |
| Dec 31, 2022 | 210.00 Mn |
| Sep 30, 2022 | 210.00 Mn |
| Jun 30, 2022 | 210.00 Mn |
| Mar 31, 2022 | 210.00 Mn |
| Dec 31, 2021 | 210.00 Mn |
Reynolds Consumer Products Shares Outstanding (Entity) 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-entity&ticker=REYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "REYN", "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-entity&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();