Reynolds Consumer Products (REYN) Selling, General & Administrative (2019 - 2026)
Reynolds Consumer Products (REYN) recorded Selling, General & Administrative of $107 million in Q2 2026, up 11.5% from $96 million a year earlier but down 1.8% from the prior quarter.
Reynolds Consumer Products (REYN) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a TTM basis, Reynolds Consumer Products' Selling, General & Administrative came in at $397 million as of Jun 30, 2026, down 1.0% year-over-year; for FY2025, it came in at $382 million, down 11.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $429 million in FY2024 (-0.2%), $430 million in FY2023 (+26.5%), $340 million in FY2022 (+6.3%) and $320 million in FY2021 (-10.6%).
- Quarterly Selling, General & Administrative has ranged from $76 million in Q4 2021 to $116 million in Q2 2024 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in two of the last eight quarters, with an average decline of 5.3%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 35.5% in Q4 2023, against a decline of 22.4% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $109 million (Q1 2026), $82 million (Q4 2025) and $99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.48 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.54 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 298.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn | 174.58 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 77.00 Mn |
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_KEY
import 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();