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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 844.00 Mn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 159.00 Mn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 128.54 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn | 54.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 133.00 Mn |
API Access
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_KEYimport 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();