Reynolds Consumer Products (REYN) Accumulated Expenses (2019 - 2026)
Reynolds Consumer Products' Accumulated Expenses was $199 million in Q2 2026, up 41.1% from $141 million a year earlier and up 39.2% from the prior quarter.
Reynolds Consumer Products (REYN) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Reynolds Consumer Products came in at $153 million, down 5.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $161 million in FY2024 (-13.9%), $187 million in FY2023 (+29.0%), $145 million in FY2022 (-2.0%) and $148 million in FY2021 (-18.2%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2019.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 0.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2026 (growth of 41.1%); the worst was Q4 2021 (a decline of 18.2%).
- Per Business Quant data, REYN's Accumulated Expenses in the three quarters before Q2 2026 was $143 million (Q1 2026), $153 million (Q4 2025) and $155 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 199.00 Mn |
| Mar 31, 2026 | 143.00 Mn |
| Dec 31, 2025 | 153.00 Mn |
| Sep 30, 2025 | 155.00 Mn |
| Jun 30, 2025 | 141.00 Mn |
| Mar 31, 2025 | 130.00 Mn |
| Dec 31, 2024 | 161.00 Mn |
| Sep 30, 2024 | 160.00 Mn |
| Jun 30, 2024 | 164.00 Mn |
| Mar 31, 2024 | 142.00 Mn |
| Dec 31, 2023 | 187.00 Mn |
| Sep 30, 2023 | 183.00 Mn |
| Jun 30, 2023 | 164.00 Mn |
| Mar 31, 2023 | 130.00 Mn |
| Dec 31, 2022 | 145.00 Mn |
| Sep 30, 2022 | 184.00 Mn |
| Jun 30, 2022 | 171.00 Mn |
| Mar 31, 2022 | 140.00 Mn |
| Dec 31, 2021 | 148.00 Mn |
| Sep 30, 2021 | 156.00 Mn |
Reynolds Consumer Products Accumulated Expenses 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=accumulated-expenses&ticker=REYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();