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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 138.02 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 27.42 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 11.45 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | -447.00 Mn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 11.13 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 7.18 Bn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 247.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | -59.30 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 862.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | -1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 862.00 Mn |
| 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 |
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_KEY
import 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();