Avery Dennison (AVY) Operating Expenses (2009 - 2026)
Avery Dennison (AVY) posted Operating Expenses of $394.8 million for Q2 2026, up 12.0% from $352.4 million a year earlier and up 5.3% from the prior quarter.
Avery Dennison (AVY) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Avery Dennison was $1.49 billion, up 8.5% year-over-year; for FY2025, it came in at $1.42 billion, up 0.5% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 3.3% (FY2021 to FY2025).
- In prior years, Avery Dennison's Operating Expenses was $1.42 billion in FY2024 (+7.7%), $1.31 billion in FY2023 (-1.3%), $1.33 billion in FY2022 (+6.6%) and $1.25 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2021.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 3.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 17.0%; the weakest was Q4 2022, with a decline of 36.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $375.1 million (Q1 2026), $369.2 million (Q4 2025) and $353.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Avery Dennison | 12.96 Bn | 11.73 Bn | 729.40 Mn | 394.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 394.80 Mn |
| Mar 31, 2026 | 375.10 Mn |
| Dec 31, 2025 | 369.20 Mn |
| Sep 27, 2025 | 353.90 Mn |
| Jun 28, 2025 | 352.40 Mn |
| Mar 29, 2025 | 347.00 Mn |
| Dec 28, 2024 | 329.30 Mn |
| Sep 28, 2024 | 346.90 Mn |
| Jun 29, 2024 | 373.90 Mn |
| Mar 30, 2024 | 365.20 Mn |
| Dec 30, 2023 | 334.90 Mn |
| Sep 30, 2023 | 324.80 Mn |
| Jul 1, 2023 | 319.60 Mn |
| Apr 1, 2023 | 334.40 Mn |
| Dec 31, 2022 | 312.30 Mn |
| Oct 1, 2022 | 330.80 Mn |
| Jul 2, 2022 | 332.70 Mn |
| Apr 2, 2022 | 355.00 Mn |
| Jan 1, 2022 | 489.80 Mn |
| Oct 2, 2021 | 296.90 Mn |
Avery Dennison 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=AVY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();