Reynolds Consumer Products (REYN) Return on Capital Employed [ROCE] (2020 - 2026)
Reynolds Consumer Products (REYN) recorded Return on Capital Employed [ROCE] of 12.75% in Q2 2026, up 0.28 percentage points from 12.47% a year earlier and up 0.10 percentage points from the prior quarter.
Reynolds Consumer Products (REYN) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Reynolds Consumer Products reported Return on Capital Employed [ROCE] of 12.29%, down 0.51 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -3.05 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 12.80% in FY2024 (+1.11 pp), 11.70% in FY2023 (+1.73 pp), 9.97% in FY2022 (-1.50 pp) and 11.46% in FY2021 (-3.88 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in three of the last eight quarters, with an average year-over-year change of +0.17 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 3.71 percentage points in Q1 2024, against a drop of 3.94 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 12.65% (Q1 2026), 12.28% (Q4 2025) and 12.25% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 22.25% |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 29.67% |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 5.79% |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 12.57% |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 23.10% |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 14.08% |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 38.28% |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 6.09% |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 12.75% |
| 10 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn | 21.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.75% |
| Mar 31, 2026 | 12.65% |
| Dec 31, 2025 | 12.28% |
| Sep 30, 2025 | 12.25% |
| Jun 30, 2025 | 12.47% |
| Mar 31, 2025 | 12.71% |
| Dec 31, 2024 | 12.69% |
| Sep 30, 2024 | 13.31% |
| Jun 30, 2024 | 13.14% |
| Mar 31, 2024 | 12.81% |
| Dec 31, 2023 | 11.80% |
| Sep 30, 2023 | 10.81% |
| Jun 30, 2023 | 9.73% |
| Mar 31, 2023 | 9.10% |
| Dec 31, 2022 | 9.85% |
| Sep 30, 2022 | 9.66% |
| Jun 30, 2022 | 10.10% |
| Mar 31, 2022 | 10.67% |
| Dec 31, 2021 | 11.45% |
| Sep 30, 2021 | 11.94% |
Reynolds Consumer Products Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=REYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();