Reynolds Consumer Products (REYN) Operating Expenses (2019 - 2026)
Reynolds Consumer Products (REYN) posted Operating Expenses of $107 million for Q2 2026, up 11.5% from $96 million a year earlier but down 1.8% from the prior quarter.
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Analysis
Reynolds Consumer Products (REYN) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Reynolds Consumer Products was $397 million, down 1.0% year-over-year; for FY2025, it was $382 million, down 11.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In prior years, Reynolds Consumer Products' Operating Expenses was $429 million in FY2024 (-0.2%), $430 million in FY2023 (+26.5%), $340 million in FY2022 (+6.3%) and $320 million in FY2021 (-10.6%).
- Quarterly Operating Expenses has run from a low of $76 million in Q4 2021 to a high of $116 million in Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 5.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 35.5%; the weakest was Q4 2021, with a decline of 22.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $109 million (Q1 2026), $82 million (Q4 2025) and $99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 1.60 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 2.78 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn | 174.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.00 Mn |
| Mar 31, 2026 | 109.00 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 99.00 Mn |
| Jun 30, 2025 | 96.00 Mn |
| Mar 31, 2025 | 104.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Sep 30, 2024 | 101.00 Mn |
| Jun 30, 2024 | 116.00 Mn |
| Mar 31, 2024 | 111.00 Mn |
| Dec 31, 2023 | 103.00 Mn |
| Sep 30, 2023 | 115.00 Mn |
| Jun 30, 2023 | 107.00 Mn |
| Mar 31, 2023 | 105.00 Mn |
| Dec 31, 2022 | 76.00 Mn |
| Sep 30, 2022 | 90.00 Mn |
| Jun 30, 2022 | 91.00 Mn |
| Mar 31, 2022 | 83.00 Mn |
| Dec 31, 2021 | 76.00 Mn |
| Sep 30, 2021 | 77.00 Mn |
API Access
Reynolds Consumer Products Operating 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=operating-expenses&ticker=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();