Reynolds Consumer Products (REYN) Pension (2019 - 2026)
Reynolds Consumer Products' Pension was $13 million in Q2 2026, down 7.1% from $14 million a year earlier and unchanged from the prior quarter.
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Analysis
Reynolds Consumer Products (REYN) Pension (2019 - 2026) Analysis & Trends
From Q4 2019 onward, Reynolds Consumer Products has reported Pension for 27 quarters.
- Pension has now declined for five consecutive years, with a five-year compound annual growth rate of -24.5% (FY2020 to FY2025).
- In earlier years, Pension was $14 million in FY2024 (-12.5%), $16 million in FY2023 (-52.9%), $34 million in FY2022 (-32.0%) and $50 million in FY2021 (-5.7%).
- Quarterly Pension has moved between $13 million (Q4 2025) and $55 million (Q3 2021) over five years.
- Compared with a year earlier, Pension has declined for 19 straight quarters, with an average decline of 15.5% over the last eight quarters.
- The best year-over-year quarter for Pension over five years was Q3 2021 (growth of 12.2%); the worst was Q4 2023 (a decline of 52.9%).
- Per Business Quant data, REYN's Pension in the three quarters before Q2 2026 was $13 million (Q1 2026), $13 million (Q4 2025) and $14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.00 Mn |
| Mar 31, 2026 | 13.00 Mn |
| Dec 31, 2025 | 13.00 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 14.00 Mn |
| Mar 31, 2025 | 14.00 Mn |
| Dec 31, 2024 | 14.00 Mn |
| Sep 30, 2024 | 16.00 Mn |
| Jun 30, 2024 | 16.00 Mn |
| Mar 31, 2024 | 16.00 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 34.00 Mn |
| Jun 30, 2023 | 34.00 Mn |
| Mar 31, 2023 | 34.00 Mn |
| Dec 31, 2022 | 34.00 Mn |
| Sep 30, 2022 | 49.00 Mn |
| Jun 30, 2022 | 50.00 Mn |
| Mar 31, 2022 | 49.00 Mn |
| Dec 31, 2021 | 50.00 Mn |
| Sep 30, 2021 | 55.00 Mn |
API Access
Reynolds Consumer Products Pension 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=pension&ticker=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();