Avery Dennison (AVY) Return on Capital Employed [ROCE] (2010 - 2026)
Avery Dennison's Return on Capital Employed [ROCE] came in at 19.49% for Q2 2026, down 1.27 percentage points from 20.76% a year earlier but up 0.79 percentage points from the prior quarter.
Avery Dennison (AVY) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Avery Dennison's Return on Capital Employed [ROCE] was 18.89%, down 1.60 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of -4.87 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 20.49% in FY2024 (+2.57 pp), 17.91% in FY2023 (-2.88 pp), 20.80% in FY2022 (-2.96 pp) and 23.76% in FY2021.
- The five-year range for quarterly Return on Capital Employed [ROCE] is 16.29% (Q2 2023) to 27.53% (Q3 2022).
- Year-over-year, Return on Capital Employed [ROCE] has declined for six consecutive quarters, with an average year-over-year change of -0.13 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2024 (a gain of 5.49 percentage points), and the weakest in Q3 2023 (a drop of 11.21 percentage points).
- Business Quant data shows AVY's Return on Capital Employed [ROCE] at 18.70% (Q1 2026), 18.18% (Q4 2025) and 18.92% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 13.17% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 9.96% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 23.44% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -1.63% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 3.55% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 24.09% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 10.47% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.58% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 13.38% |
| 10 | Avery Dennison | 13.03 Bn | 11.80 Bn | 729.40 Mn | 19.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.49% |
| Mar 31, 2026 | 18.70% |
| Dec 31, 2025 | 18.18% |
| Sep 27, 2025 | 18.92% |
| Jun 28, 2025 | 20.76% |
| Mar 29, 2025 | 20.69% |
| Dec 28, 2024 | 20.04% |
| Sep 28, 2024 | 21.82% |
| Jun 29, 2024 | 21.66% |
| Mar 30, 2024 | 20.77% |
| Dec 30, 2023 | 17.61% |
| Sep 30, 2023 | 16.33% |
| Jul 1, 2023 | 16.29% |
| Apr 1, 2023 | 18.28% |
| Dec 31, 2022 | 20.66% |
| Oct 1, 2022 | 27.53% |
| Jul 2, 2022 | 27.00% |
| Apr 2, 2022 | 25.12% |
| Jan 1, 2022 | 24.68% |
| Oct 2, 2021 | 22.62% |
Avery Dennison Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AVY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AVY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();