Avery Dennison (AVY) Cash & Equivalents (2009 - 2026)
Avery Dennison (AVY) recorded Cash & Equivalents of $227.3 million in Q2 2026, up 5.3% from $215.9 million a year earlier but down 10.9% from the prior quarter.
Avery Dennison (AVY) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Avery Dennison reported Cash & Equivalents of $202.8 million, down 38.4% from FY2024.
- Annual Cash & Equivalents has a four-year compound annual growth rate of 5.7% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $329.1 million in FY2024 (+53.1%), $215 million in FY2023 (+28.6%), $167.2 million in FY2022 (+2.8%) and $162.7 million in FY2021.
- Quarterly Cash & Equivalents has ranged from $128.2 million in Q3 2022 to $536.3 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in seven of the last eight quarters, with growth averaging 26.6%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 152.1% in Q3 2025, against a decline of 47.1% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $255.1 million (Q1 2026), $202.8 million (Q4 2025) and $536.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 233.67 Bn | 215.25 Bn | 4.43 Bn | 4.90 Bn |
| 2 | Corning | 107.39 Bn | 99.95 Bn | 1.63 Bn | 2.50 Bn |
| 3 | Sherwin Williams | 83.35 Bn | 82.39 Bn | 3.34 Bn | 293.50 Mn |
| 4 | Air Products & Chemicals | 67.61 Bn | 62.80 Bn | 1.04 Bn | 980.50 Mn |
| 5 | LyondellBasell Industries | 40.94 Bn | 30.45 Bn | 2.04 Bn | 2.63 Bn |
| 6 | Nutrien | 33.14 Bn | 29.97 Bn | 3.25 Bn | 921.00 Mn |
| 7 | Ppg Industries | 24.81 Bn | 17.46 Bn | 1.81 Bn | 1.52 Bn |
| 8 | International Flavors & Fragrances | 23.48 Bn | 21.14 Bn | 853.00 Mn | 569.00 Mn |
| 9 | Qnity Electronics | 23.12 Bn | 20.26 Bn | 666.00 Mn | 961.00 Mn |
| 10 | Avery Dennison | 13.82 Bn | 12.60 Bn | 729.40 Mn | 227.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.30 Mn |
| Mar 31, 2026 | 255.10 Mn |
| Dec 31, 2025 | 202.80 Mn |
| Sep 27, 2025 | 536.30 Mn |
| Jun 28, 2025 | 215.90 Mn |
| Mar 29, 2025 | 195.90 Mn |
| Dec 28, 2024 | 329.10 Mn |
| Sep 28, 2024 | 212.70 Mn |
| Jun 29, 2024 | 208.80 Mn |
| Mar 30, 2024 | 185.70 Mn |
| Dec 30, 2023 | 215.00 Mn |
| Sep 30, 2023 | 209.90 Mn |
| Jul 1, 2023 | 217.10 Mn |
| Apr 1, 2023 | 351.30 Mn |
| Dec 31, 2022 | 167.20 Mn |
| Oct 1, 2022 | 128.20 Mn |
| Jul 2, 2022 | 164.80 Mn |
| Apr 2, 2022 | 147.10 Mn |
| Jan 1, 2022 | 162.70 Mn |
| Oct 2, 2021 | 207.20 Mn |
Avery Dennison Cash & Equivalents 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=cash-and-equivalents&ticker=AVY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();