Reynolds Consumer Products (REYN) Other Non-Current Liabilities (2019 - 2026)
Reynolds Consumer Products' Other Non-Current Liabilities came in at $105 million for Q2 2026, up 16.7% from $90 million a year earlier and up 38.2% from the prior quarter.
Reynolds Consumer Products (REYN) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Reynolds Consumer Products' Other Non-Current Liabilities was $82 million, up 6.5% from FY2024.
- Other Non-Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $77 million in FY2024 (+6.9%), $72 million in FY2023 (+53.2%), $47 million in FY2022 (+23.7%) and $38 million in FY2021 (+2.7%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Liabilities since Q4 2019.
- Year-over-year, Other Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 12.9%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q3 2023 (growth of 69.7%), and the weakest in Q3 2022 (a decline of 23.3%).
- Business Quant data shows REYN's Other Non-Current Liabilities at $76 million (Q1 2026), $82 million (Q4 2025) and $94 million (Q3 2025) in the three quarters before Q2 2026.
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 | 105.00 Mn |
| Mar 31, 2026 | 76.00 Mn |
| Dec 31, 2025 | 82.00 Mn |
| Sep 30, 2025 | 94.00 Mn |
| Jun 30, 2025 | 90.00 Mn |
| Mar 31, 2025 | 84.00 Mn |
| Dec 31, 2024 | 77.00 Mn |
| Sep 30, 2024 | 81.00 Mn |
| Jun 30, 2024 | 80.00 Mn |
| Mar 31, 2024 | 77.00 Mn |
| Dec 31, 2023 | 72.00 Mn |
| Sep 30, 2023 | 56.00 Mn |
| Jun 30, 2023 | 54.00 Mn |
| Mar 31, 2023 | 52.00 Mn |
| Dec 31, 2022 | 47.00 Mn |
| Sep 30, 2022 | 33.00 Mn |
| Jun 30, 2022 | 34.00 Mn |
| Mar 31, 2022 | 37.00 Mn |
| Dec 31, 2021 | 38.00 Mn |
| Sep 30, 2021 | 43.00 Mn |
Reynolds Consumer Products Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=REYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=REYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();