Reynolds Consumer Products (REYN) Return on Assets [ROA] (2020 - 2026)
Reynolds Consumer Products (REYN) posted Return on Assets [ROA] of 10.69% for Q2 2026, up 0.13 percentage points from 10.56% a year earlier and up 0.25 percentage points from the prior quarter.
Reynolds Consumer Products (REYN) Return on Assets [ROA] (2020 - 2026) Analysis & Trends
For FY2025, Reynolds Consumer Products' Return on Assets [ROA] came in at 10.03%, down 1.34 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -3.16 percentage points (FY2020 to FY2025).
- In prior years, Reynolds Consumer Products' Return on Assets [ROA] was 11.37% in FY2024 (+0.83 pp), 10.55% in FY2023 (+2.05 pp), 8.50% in FY2022 (-1.53 pp) and 10.03% in FY2021 (-3.17 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Assets [ROA] since Q1 2025.
- On a year-over-year basis, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -0.27 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2024, with a gain of 3.53 percentage points; the weakest was Q1 2022, with a drop of 3.63 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 10.44% (Q1 2026), 10.03% (Q4 2025) and 10.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 12.67% |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 12.94% |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 6.19% |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 0.92% |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 11.13% |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 8.22% |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 8.45% |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 2.46% |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 10.69% |
| 10 | Interparfums | 3.58 Bn | 3.39 Bn | 223.53 Mn | 13.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.69% |
| Mar 31, 2026 | 10.44% |
| Dec 31, 2025 | 10.03% |
| Sep 30, 2025 | 10.19% |
| Jun 30, 2025 | 10.56% |
| Mar 31, 2025 | 11.00% |
| Dec 31, 2024 | 11.28% |
| Sep 30, 2024 | 11.83% |
| Jun 30, 2024 | 11.72% |
| Mar 31, 2024 | 11.41% |
| Dec 31, 2023 | 10.65% |
| Sep 30, 2023 | 9.69% |
| Jun 30, 2023 | 8.62% |
| Mar 31, 2023 | 7.88% |
| Dec 31, 2022 | 8.41% |
| Sep 30, 2022 | 8.17% |
| Jun 30, 2022 | 8.60% |
| Mar 31, 2022 | 9.29% |
| Dec 31, 2021 | 10.02% |
| Sep 30, 2021 | 10.48% |
Reynolds Consumer Products Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=REYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();