Reynolds Consumer Products (REYN) Return on Sales [ROS] (2019 - 2026)
Reynolds Consumer Products' Return on Sales [ROS] came in at 10.38% for Q3 2026, down 2.83 percentage points from 13.21% a year earlier and down 4.24 percentage points from the prior quarter.
Reynolds Consumer Products (REYN) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Reynolds Consumer Products reported Return on Sales [ROS] of 13.42%, up 0.02 percentage points year-over-year; for FY2025, it came in at 13.22%, down 1.64 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -4.74 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 14.86% in FY2024 (+1.23 pp), 13.63% in FY2023 (+2.79 pp), 10.85% in FY2022 (-2.60 pp) and 13.44% in FY2021 (-4.52 pp).
- The Q3 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.04 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 5.75 percentage points), and the weakest in Q1 2022 (a drop of 5.20 percentage points).
- Business Quant data shows REYN's Return on Sales [ROS] at 14.62% (Q2 2026), 11.17% (Q1 2026) and 17.02% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 25.51% |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 20.26% |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 10.98% |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 18.17% |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 12.48% |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 18.19% |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 23.67% |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 10.07% |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 10.38% |
| 10 | Bath & Body Works | 4.32 Bn | 2.11 Bn | 692.00 Mn | 14.27% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.38% |
| Jun 30, 2026 | 14.62% |
| Mar 31, 2026 | 11.17% |
| Dec 31, 2025 | 17.02% |
| Sep 30, 2025 | 13.21% |
| Jun 30, 2025 | 12.58% |
| Mar 31, 2025 | 9.29% |
| Dec 31, 2024 | 17.65% |
| Sep 30, 2024 | 15.16% |
| Jun 30, 2024 | 15.05% |
| Mar 31, 2024 | 10.80% |
| Dec 31, 2023 | 20.48% |
| Sep 30, 2023 | 14.33% |
| Jun 30, 2023 | 12.77% |
| Mar 31, 2023 | 5.95% |
| Dec 31, 2022 | 15.17% |
| Sep 30, 2022 | 8.58% |
| Jun 30, 2022 | 9.38% |
| Mar 31, 2022 | 9.47% |
| Dec 31, 2021 | 14.68% |
Reynolds Consumer Products Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();