Avery Dennison (AVY) Non Operating Interest Expenses (2009 - 2026)
Avery Dennison's Non Operating Interest Expenses was $35.9 million in Q2 2026, up 5.6% from $34 million a year earlier and up 0.8% from the prior quarter.
Avery Dennison (AVY) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Avery Dennison's Non Operating Interest Expenses was $142 million through Jun 30, 2026, up 14.4% year-over-year; for FY2025, it came in at $135.4 million, up 15.7% from FY2024.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of 17.8% (FY2021 to FY2025).
- In earlier years, Non Operating Interest Expenses was $117 million in FY2024 (-1.7%), $119 million in FY2023 (+41.5%), $84.1 million in FY2022 (+19.8%) and $70.2 million in FY2021.
- Quarterly Non Operating Interest Expenses has moved between $15.8 million (Q4 2021) and $37.2 million (Q4 2025) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for six straight quarters, with growth averaging 9.8% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2023 (growth of 53.4%); the worst was Q2 2024 (a decline of 8.5%).
- Per Business Quant data, AVY's Non Operating Interest Expenses in the three quarters before Q2 2026 was $35.6 million (Q1 2026), $37.2 million (Q4 2025) and $33.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 49.40 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 138.00 Mn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 173.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 61.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 71.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | - |
| 10 | Avery Dennison | 13.65 Bn | 12.43 Bn | 729.40 Mn | 35.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.90 Mn |
| Mar 31, 2026 | 35.60 Mn |
| Dec 31, 2025 | 37.20 Mn |
| Sep 27, 2025 | 33.30 Mn |
| Jun 28, 2025 | 34.00 Mn |
| Mar 29, 2025 | 30.90 Mn |
| Dec 28, 2024 | 29.20 Mn |
| Sep 28, 2024 | 30.00 Mn |
| Jun 29, 2024 | 29.20 Mn |
| Mar 30, 2024 | 28.60 Mn |
| Dec 30, 2023 | 29.70 Mn |
| Sep 30, 2023 | 31.00 Mn |
| Jul 1, 2023 | 31.90 Mn |
| Apr 1, 2023 | 26.40 Mn |
| Dec 31, 2022 | 22.50 Mn |
| Oct 1, 2022 | 21.20 Mn |
| Jul 2, 2022 | 20.80 Mn |
| Apr 2, 2022 | 19.60 Mn |
| Jan 1, 2022 | 15.80 Mn |
| Oct 2, 2021 | 18.00 Mn |
Avery Dennison Non Operating Interest 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=non-operating-interest-expenses&ticker=AVY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();