Reynolds Consumer Products (REYN) Selling, General & Administrative (2019 - 2026)
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Analysis
Reynolds Consumer Products (REYN) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 2.11 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 2.37 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.57 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 267.30 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 290.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 300.12 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 106.00 Mn |
| 10 | Bath & Body Works | 4.32 Bn | 2.11 Bn | 692.00 Mn | 476.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 106.00 Mn |
| Jun 30, 2026 | 107.00 Mn |
| Mar 31, 2026 | 109.00 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 99.00 Mn |
| Jun 30, 2025 | 96.00 Mn |
| Mar 31, 2025 | 104.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Sep 30, 2024 | 101.00 Mn |
| Jun 30, 2024 | 116.00 Mn |
| Mar 31, 2024 | 111.00 Mn |
| Dec 31, 2023 | 103.00 Mn |
| Sep 30, 2023 | 115.00 Mn |
| Jun 30, 2023 | 107.00 Mn |
| Mar 31, 2023 | 105.00 Mn |
| Dec 31, 2022 | 76.00 Mn |
| Sep 30, 2022 | 90.00 Mn |
| Jun 30, 2022 | 91.00 Mn |
| Mar 31, 2022 | 83.00 Mn |
| Dec 31, 2021 | 76.00 Mn |
API Access
Reynolds Consumer Products Selling, General & Administrative 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=selling-general-and-administrative&ticker=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();