Avery Dennison (AVY) Depreciation and Depletion (2009 - 2026)
Avery Dennison's Depreciation and Depletion came in at $53.1 million for Q2 2026, up 3.1% from $51.5 million a year earlier but down 0.4% from the prior quarter.
Avery Dennison (AVY) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Avery Dennison reported Depreciation and Depletion of $212.5 million, up 6.9% year-over-year; for FY2025, it came in at $206.4 million, up 4.7% from FY2024.
- Depreciation and Depletion has increased in each of the last four years, with a four-year compound annual growth rate of 5.4% (FY2021 to FY2025).
- Going back by year, Depreciation and Depletion was $197.1 million in FY2024 (+5.2%), $187.4 million in FY2023 (+5.6%), $177.4 million in FY2022 (+6.0%) and $167.3 million in FY2021.
- The five-year range for quarterly Depreciation and Depletion is $43.8 million (Q1 2022) to $54.3 million (Q3 2025).
- Year-over-year, Depreciation and Depletion has increased for five consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q3 2025 (growth of 11.3%), and the weakest in Q4 2022 (a decline of 15.7%).
- Business Quant data shows AVY's Depreciation and Depletion at $53.3 million (Q1 2026), $51.8 million (Q4 2025) and $54.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | - |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | - |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | - |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | - |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 47.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | - |
| 10 | Avery Dennison | 12.96 Bn | 11.73 Bn | 729.40 Mn | 53.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.10 Mn |
| Mar 31, 2026 | 53.30 Mn |
| Dec 31, 2025 | 51.80 Mn |
| Sep 27, 2025 | 54.30 Mn |
| Jun 28, 2025 | 51.50 Mn |
| Mar 29, 2025 | 48.80 Mn |
| Dec 28, 2024 | 49.60 Mn |
| Sep 28, 2024 | 48.80 Mn |
| Jun 29, 2024 | 49.70 Mn |
| Mar 30, 2024 | 49.00 Mn |
| Dec 30, 2023 | 48.90 Mn |
| Sep 30, 2023 | 47.00 Mn |
| Jul 1, 2023 | 46.70 Mn |
| Apr 1, 2023 | 44.80 Mn |
| Dec 31, 2022 | 45.20 Mn |
| Oct 1, 2022 | 44.00 Mn |
| Jul 2, 2022 | 44.40 Mn |
| Apr 2, 2022 | 43.80 Mn |
| Jan 1, 2022 | 53.60 Mn |
| Apr 3, 2021 | 40.00 Mn |
Avery Dennison Depreciation and Depletion 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=depreciation-and-depletion&ticker=AVY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();