Avery Dennison (AVY) Long-Term Debt Repayments (2009 - 2026)
Avery Dennison's Long-Term Debt Repayments was $1.7 million in Q2 2026, down 93.6% from $26.6 million a year earlier and unchanged from the prior quarter.
Avery Dennison (AVY) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Avery Dennison's Long-Term Debt Repayments was $11.2 million through Jun 30, 2026, down 98.0% year-over-year; for FY2025, it came in at $559.4 million, up 81.6% from FY2024.
- Long-Term Debt Repayments shows a four-year compound annual growth rate of 154.2% (FY2021 to FY2025).
- In earlier years, Long-Term Debt Repayments was $308.1 million in FY2024 (+20.4%), $255.9 million in FY2023, $6.3 million in FY2022 (-53.0%) and $13.4 million in FY2021.
- Quarterly Long-Term Debt Repayments has moved between -$255.5 million (Q4 2021) and $525 million (Q1 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has declined for three straight quarters, with an average decline of 46.2% over the last four quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2024 (growth of 70.6%); the worst was Q1 2026 (a decline of 99.7%).
- Per Business Quant data, AVY's Long-Term Debt Repayments in the three quarters before Q2 2026 was $1.7 million (Q1 2026), $1.1 million (Q4 2025) and $6.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.66 Bn | 217.24 Bn | 4.43 Bn | 26.00 Mn |
| 2 | Corning | 107.50 Bn | 100.07 Bn | 1.63 Bn | 678.00 Mn |
| 3 | Sherwin Williams | 84.09 Bn | 83.13 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.38 Bn | 63.57 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 41.44 Bn | 30.95 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.59 Bn | 30.42 Bn | 3.25 Bn | -36.00 Mn |
| 7 | Ppg Industries | 25.05 Bn | 17.71 Bn | 1.81 Bn | - |
| 8 | International Flavors & Fragrances | 23.81 Bn | 21.47 Bn | 853.00 Mn | - |
| 9 | Qnity Electronics | 23.15 Bn | 20.29 Bn | 666.00 Mn | 6.00 Mn |
| 10 | Avery Dennison | 13.92 Bn | 12.70 Bn | 729.40 Mn | 1.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 Mn |
| Mar 31, 2026 | 1.70 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 27, 2025 | 6.70 Mn |
| Jun 28, 2025 | 26.60 Mn |
| Mar 29, 2025 | 525.00 Mn |
| Dec 28, 2024 | 2.90 Mn |
| Sep 28, 2024 | 301.70 Mn |
| Jun 29, 2024 | 1.80 Mn |
| Mar 30, 2024 | 1.70 Mn |
| Dec 30, 2023 | 1.70 Mn |
| Sep 30, 2023 | 1.60 Mn |
| Jul 1, 2023 | 251.20 Mn |
| Apr 1, 2023 | 1.40 Mn |
| Dec 31, 2022 | 1.90 Mn |
| Oct 1, 2022 | 1.00 Mn |
| Jul 2, 2022 | 1.50 Mn |
| Apr 2, 2022 | 1.90 Mn |
| Jan 1, 2022 | -255.50 Mn |
| Apr 3, 2021 | 1.50 Mn |
Avery Dennison Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AVY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AVY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();