Reynolds Consumer Products (REYN) Retained Earnings (2020 - 2026)
Reynolds Consumer Products (REYN) recorded Retained Earnings of $853 million in Q2 2026, up 21.5% from $702 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Reynolds Consumer Products (REYN) Retained Earnings (2020 - 2026) Analysis & Trends
At the end of FY2025, Reynolds Consumer Products reported Retained Earnings of $802 million, up 15.6% from FY2024.
- Annual Retained Earnings has increased for five straight years, with a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $694 million in FY2024 (+29.2%), $537 million in FY2023 (+24.6%), $431 million in FY2022 (+18.1%) and $365 million in FY2021 (+56.7%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q1 2020.
- On a year-over-year basis, Retained Earnings has increased for 21 consecutive quarters, with growth averaging 23.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 8.4% in Q1 2023 to 83.9% in Q3 2021.
- Per Business Quant, the preceding three quarters came in at $813 million (Q1 2026), $802 million (Q4 2025) and $733 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | -70.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 11.34 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 838.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 853.00 Mn |
| Mar 31, 2026 | 813.00 Mn |
| Dec 31, 2025 | 802.00 Mn |
| Sep 30, 2025 | 733.00 Mn |
| Jun 30, 2025 | 702.00 Mn |
| Mar 31, 2025 | 676.00 Mn |
| Dec 31, 2024 | 694.00 Mn |
| Sep 30, 2024 | 622.00 Mn |
| Jun 30, 2024 | 585.00 Mn |
| Mar 31, 2024 | 537.00 Mn |
| Dec 31, 2023 | 537.00 Mn |
| Sep 30, 2023 | 448.00 Mn |
| Jun 30, 2023 | 418.00 Mn |
| Mar 31, 2023 | 400.00 Mn |
| Dec 31, 2022 | 431.00 Mn |
| Sep 30, 2022 | 373.00 Mn |
| Jun 30, 2022 | 373.00 Mn |
| Mar 31, 2022 | 369.00 Mn |
| Dec 31, 2021 | 365.00 Mn |
| Sep 30, 2021 | 309.00 Mn |
API Access
Reynolds Consumer Products Retained Earnings 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=retained-earnings&ticker=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();