Reynolds Consumer Products (REYN) Shares Outstanding (Diluted) (2019 - 2026)
Reynolds Consumer Products (REYN) reported Shares Outstanding (Diluted) of 211.9 million for Q2 2026, up 0.8% from 210.3 million a year earlier and unchanged from the prior quarter.
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Analysis
Reynolds Consumer Products (REYN) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Reynolds Consumer Products posted Shares Outstanding (Diluted) of 210.4 million, unchanged from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 210.4 million in FY2024 (+0.2%), 210 million in FY2023 (unchanged), 209.9 million in FY2022 (unchanged) and 209.8 million in FY2021 (+2.6%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2019.
- Year over year, Shares Outstanding (Diluted) gained in five of the last eight quarters, with growth averaging 0.2%.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.0% (Q3 2021) and 2.6% (Q4 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 211.8 million (Q1 2026), 210.4 million (Q4 2025) and 210.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 2.42 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 801.80 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.92 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 364.80 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 333.30 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 238.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 122.13 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 59.73 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 211.90 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 32.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.90 Mn |
| Mar 31, 2026 | 211.80 Mn |
| Dec 31, 2025 | 210.40 Mn |
| Sep 30, 2025 | 210.40 Mn |
| Jun 30, 2025 | 210.30 Mn |
| Mar 31, 2025 | 210.30 Mn |
| Dec 31, 2024 | 210.40 Mn |
| Sep 30, 2024 | 210.30 Mn |
| Jun 30, 2024 | 210.20 Mn |
| Mar 31, 2024 | 210.10 Mn |
| Dec 31, 2023 | 210.00 Mn |
| Sep 30, 2023 | 210.00 Mn |
| Jun 30, 2023 | 210.00 Mn |
| Mar 31, 2023 | 209.90 Mn |
| Dec 31, 2022 | 209.90 Mn |
| Sep 30, 2022 | 209.90 Mn |
| Jun 30, 2022 | 209.90 Mn |
| Mar 31, 2022 | 209.80 Mn |
| Dec 31, 2021 | 209.80 Mn |
| Sep 30, 2021 | 209.80 Mn |
API Access
Reynolds Consumer Products 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=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();