Reynolds Consumer Products (REYN) EBITDA Margin (2019 - 2026)
Reynolds Consumer Products' EBITDA Margin was 18.01% in Q2 2026, up 0.63 percentage points from 17.38% a year earlier and up 3.07 percentage points from the prior quarter.
Reynolds Consumer Products (REYN) EBITDA Margin (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Reynolds Consumer Products' EBITDA Margin was 18.20% through Jun 30, 2026, up 0.18 percentage points year-over-year; for FY2025, it was 17.93%, down 0.42 percentage points from FY2024.
- EBITDA Margin shows a five-year change of -3.96 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 18.35% in FY2024 (+1.42 pp), 16.93% in FY2023 (+2.45 pp), 14.49% in FY2022 (-2.39 pp) and 16.87% in FY2021 (-5.01 pp).
- Quarterly EBITDA Margin has moved between 9.15% (Q1 2023) and 23.66% (Q4 2023) over five years.
- Compared with a year earlier, EBITDA Margin has increased for three straight quarters, with an average year-over-year change of -0.26 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2024 (a gain of 5.49 percentage points); the worst was Q3 2021 (a drop of 8.63 percentage points).
- Per Business Quant data, REYN's EBITDA Margin in the three quarters before Q2 2026 was 14.94% (Q1 2026), 21.18% (Q4 2025) and 18.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 22.46% |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 21.84% |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 21.34% |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 4.38% |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 19.10% |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 25.03% |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 28.34% |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 26.81% |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 18.01% |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 16.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.01% |
| Mar 31, 2026 | 14.94% |
| Dec 31, 2025 | 21.18% |
| Sep 30, 2025 | 18.15% |
| Jun 30, 2025 | 17.38% |
| Mar 31, 2025 | 14.30% |
| Dec 31, 2024 | 20.88% |
| Sep 30, 2024 | 18.79% |
| Jun 30, 2024 | 18.39% |
| Mar 31, 2024 | 14.65% |
| Dec 31, 2023 | 23.66% |
| Sep 30, 2023 | 17.65% |
| Jun 30, 2023 | 16.17% |
| Mar 31, 2023 | 9.15% |
| Dec 31, 2022 | 18.38% |
| Sep 30, 2022 | 12.20% |
| Jun 30, 2022 | 13.30% |
| Mar 31, 2022 | 13.37% |
| Dec 31, 2021 | 17.71% |
| Sep 30, 2021 | 14.70% |
Reynolds Consumer Products EBITDA Margin 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=ebitda-margin&ticker=REYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();