Avery Dennison (AVY) Tax Provisions (2009 - 2026)
Avery Dennison (AVY) posted Tax Provisions of $78.6 million for Q2 2026, up 18.2% from $66.5 million a year earlier and up 8.7% from the prior quarter.
Avery Dennison (AVY) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Avery Dennison was $260.8 million, up 3.4% year-over-year; for FY2025, it was $237.1 million, down 4.6% from FY2024.
- Annual Tax Provisions shows a four-year compound annual growth rate of -1.2% (FY2021 to FY2025).
- In prior years, Avery Dennison's Tax Provisions was $248.6 million in FY2024 (+29.7%), $191.7 million in FY2023 (-20.9%), $242.2 million in FY2022 (-2.6%) and $248.6 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2021.
- On a year-over-year basis, Tax Provisions increased in six of the last eight quarters, with growth averaging 7.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2024, with growth of 54.8%; the weakest was Q4 2022, with a decline of 65.4%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $72.3 million (Q1 2026), $41.4 million (Q4 2025) and $68.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.88 Bn | 217.46 Bn | 4.43 Bn | 610.00 Mn |
| 2 | Corning | 106.24 Bn | 98.80 Bn | 1.63 Bn | 40.00 Mn |
| 3 | Sherwin Williams | 84.02 Bn | 83.06 Bn | 3.34 Bn | 268.90 Mn |
| 4 | Air Products & Chemicals | 68.58 Bn | 63.76 Bn | 1.04 Bn | -515.40 Mn |
| 5 | LyondellBasell Industries | 42.04 Bn | 31.55 Bn | 2.04 Bn | 236.00 Mn |
| 6 | Nutrien | 33.65 Bn | 30.48 Bn | 3.25 Bn | 382.00 Mn |
| 7 | Ppg Industries | 24.99 Bn | 17.65 Bn | 1.81 Bn | 127.00 Mn |
| 8 | International Flavors & Fragrances | 23.74 Bn | 21.40 Bn | 853.00 Mn | 31.00 Mn |
| 9 | Qnity Electronics | 23.12 Bn | 20.26 Bn | 666.00 Mn | 63.00 Mn |
| 10 | Avery Dennison | 13.99 Bn | 12.76 Bn | 729.40 Mn | 78.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.60 Mn |
| Mar 31, 2026 | 72.30 Mn |
| Dec 31, 2025 | 41.40 Mn |
| Sep 27, 2025 | 68.50 Mn |
| Jun 28, 2025 | 66.50 Mn |
| Mar 29, 2025 | 60.70 Mn |
| Dec 28, 2024 | 67.40 Mn |
| Sep 28, 2024 | 57.60 Mn |
| Jun 29, 2024 | 61.60 Mn |
| Mar 30, 2024 | 62.00 Mn |
| Dec 30, 2023 | 58.50 Mn |
| Sep 30, 2023 | 46.30 Mn |
| Jul 1, 2023 | 39.80 Mn |
| Apr 1, 2023 | 47.10 Mn |
| Dec 31, 2022 | 46.30 Mn |
| Oct 1, 2022 | 51.00 Mn |
| Jul 2, 2022 | 73.40 Mn |
| Apr 2, 2022 | 71.50 Mn |
| Jan 1, 2022 | 133.80 Mn |
| Oct 2, 2021 | 59.20 Mn |
Avery Dennison Tax Provisions 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=tax-provisions&ticker=AVY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();