Reynolds Consumer Products (REYN) Non-Current Debt (2019 - 2026)
Reynolds Consumer Products (REYN) posted Non-Current Debt of -$743 million for FY2025.
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Analysis
Reynolds Consumer Products (REYN) Non-Current Debt (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 22.84 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 7.82 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 7.07 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 6.80 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 6.47 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 2.21 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 3.98 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 802.00 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 1.53 Bn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn | 96.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.53 Bn |
| Mar 31, 2026 | 1.53 Bn |
| Dec 31, 2025 | 1.58 Bn |
| Sep 30, 2025 | 1.61 Bn |
| Jun 30, 2025 | 1.62 Bn |
| Mar 31, 2025 | 1.62 Bn |
| Dec 31, 2024 | 1.69 Bn |
| Sep 30, 2024 | 1.74 Bn |
| Jun 30, 2024 | 1.78 Bn |
| Mar 31, 2024 | 1.83 Bn |
| Dec 31, 2023 | 1.83 Bn |
| Sep 30, 2023 | 1.98 Bn |
| Jun 30, 2023 | 2.06 Bn |
| Mar 31, 2023 | 2.06 Bn |
| Dec 31, 2022 | 2.07 Bn |
| Sep 30, 2022 | 2.07 Bn |
| Jun 30, 2022 | 2.08 Bn |
| Mar 31, 2022 | 2.08 Bn |
| Dec 31, 2021 | 2.09 Bn |
| Sep 30, 2021 | 2.09 Bn |
API Access
Reynolds Consumer Products Non-Current Debt 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=non-current-debt&ticker=REYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();