Reynolds Consumer Products (REYN) EBITDA (2019 - 2026)
Reynolds Consumer Products (REYN) posted EBITDA of $170 million for Q2 2026, up 4.3% from $163 million a year earlier and up 29.8% from the prior quarter.
Reynolds Consumer Products (REYN) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Reynolds Consumer Products was $689 million, up 3.8% year-over-year; for FY2025, it was $667 million, down 1.6% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, Reynolds Consumer Products' EBITDA was $678 million in FY2024 (+6.6%), $636 million in FY2023 (+15.0%), $553 million in FY2022 (-7.8%) and $600 million in FY2021 (-16.0%).
- Quarterly EBITDA has run from a low of $80 million in Q1 2023 to a high of $238 million in Q4 2023 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 0.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2024, with growth of 52.5%; the weakest was Q3 2021, with a decline of 30.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $131 million (Q1 2026), $219 million (Q4 2025) and $169 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 6.75 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 1.25 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 599.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 849.00 Mn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 700.00 Mn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 468.20 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 525.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 76.96 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 163.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | 275.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 163.00 Mn |
| Jun 30, 2026 | 170.00 Mn |
| Mar 31, 2026 | 131.00 Mn |
| Dec 31, 2025 | 219.00 Mn |
| Sep 30, 2025 | 169.00 Mn |
| Jun 30, 2025 | 163.00 Mn |
| Mar 31, 2025 | 117.00 Mn |
| Dec 31, 2024 | 213.00 Mn |
| Sep 30, 2024 | 171.00 Mn |
| Jun 30, 2024 | 171.00 Mn |
| Mar 31, 2024 | 122.00 Mn |
| Dec 31, 2023 | 238.00 Mn |
| Sep 30, 2023 | 165.00 Mn |
| Jun 30, 2023 | 152.00 Mn |
| Mar 31, 2023 | 80.00 Mn |
| Dec 31, 2022 | 200.00 Mn |
| Sep 30, 2022 | 118.00 Mn |
| Jun 30, 2022 | 122.00 Mn |
| Mar 31, 2022 | 113.00 Mn |
| Dec 31, 2021 | 181.00 Mn |
Reynolds Consumer Products EBITDA 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&ticker=REYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();