Avery Dennison (AVY) Depreciation and Depletion (2009 - 2026)
Avery Dennison's Depreciation and Depletion came in at $52.1 million for Q3 2026, down 4.1% from $54.3 million a year earlier and down 1.9% from the prior quarter.
Avery Dennison (AVY) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Avery Dennison reported Depreciation and Depletion of $210.3 million, up 3.0% 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 increased in six of the last eight quarters, with growth averaging 3.6%.
- 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 $53.1 million (Q2 2026), $53.3 million (Q1 2026) and $51.8 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | - |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 371.00 Mn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 99.20 Mn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | - |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 108.00 Mn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 48.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | - |
| 10 | Avery Dennison | 14.29 Bn | 13.34 Bn | 654.80 Mn | 52.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 52.10 Mn |
| 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 |
| Dec 31, 2021 | 167.30 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();