Avery Dennison (AVY) Return on Sales [ROS] (2009 - 2026)
Avery Dennison (AVY) posted Return on Sales [ROS] of 13.59% for Q2 2026, up 0.67 percentage points from 12.91% a year earlier and up 0.98 percentage points from the prior quarter.
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Analysis
Avery Dennison (AVY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Avery Dennison was 12.83%, up 0.01 percentage points year-over-year; for FY2025, it came in at 12.69%, down 0.05 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a four-year change of +0.03 percentage points (FY2021 to FY2025).
- In prior years, Avery Dennison's Return on Sales [ROS] was 12.74% in FY2024 (+1.22 pp), 11.52% in FY2023 (-0.35 pp), 11.87% in FY2022 (-0.78 pp) and 12.66% in FY2021.
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q4 2010.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.14 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 3.10 percentage points; the weakest was Q1 2023, with a drop of 2.12 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 12.60% (Q1 2026), 12.39% (Q4 2025) and 12.69% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 14.73% |
| 10 | Avery Dennison | 13.03 Bn | 11.80 Bn | 729.40 Mn | 13.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.59% |
| Mar 31, 2026 | 12.60% |
| Dec 31, 2025 | 12.39% |
| Sep 27, 2025 | 12.69% |
| Jun 28, 2025 | 12.91% |
| Mar 29, 2025 | 12.78% |
| Dec 28, 2024 | 12.81% |
| Sep 28, 2024 | 12.81% |
| Jun 29, 2024 | 12.92% |
| Mar 30, 2024 | 12.41% |
| Dec 30, 2023 | 12.37% |
| Sep 30, 2023 | 12.44% |
| Jul 1, 2023 | 11.18% |
| Apr 1, 2023 | 10.07% |
| Dec 31, 2022 | 9.27% |
| Oct 1, 2022 | 12.45% |
| Jul 2, 2022 | 13.24% |
| Apr 2, 2022 | 12.19% |
| Oct 2, 2021 | 12.43% |
| Jul 3, 2021 | 12.81% |
API Access
Avery Dennison Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AVY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();