Mueller Industries (MLI) Return on Assets [ROA] (2010 - 2026)
Mueller Industries (MLI) posted Return on Assets [ROA] of 20.92% for Q2 2026, down 0.52 percentage points from 21.44% a year earlier and down 1.38 percentage points from the prior quarter.
Mueller Industries (MLI) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, Mueller Industries' Return on Assets [ROA] came in at 22.03%, up 1.61 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +12.12 percentage points (FY2020 to FY2025).
- In prior years, Mueller Industries' Return on Assets [ROA] was 20.41% in FY2024 (-3.96 pp), 24.38% in FY2023 (-9.00 pp), 33.38% in FY2022 (+4.21 pp) and 29.17% in FY2021 (+19.26 pp).
- Quarterly Return on Assets [ROA] has run from a low of 18.80% in Q2 2024 to a high of 33.35% in Q2 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] increased in four of the last eight quarters, with an average year-over-year change of -0.07 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2022, with a gain of 20.13 percentage points; the weakest was Q1 2024, with a drop of 8.36 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 22.30% (Q1 2026), 20.83% (Q4 2025) and 21.12% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 10.94% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 11.93% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 4.54% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 6.89% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 11.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.82% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 6.12% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 8.56% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 19.50% |
| 10 | Mueller Industries | 13.40 Bn | 7.91 Bn | 395.35 Mn | 20.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 20.92% |
| Mar 28, 2026 | 22.30% |
| Dec 27, 2025 | 20.83% |
| Sep 27, 2025 | 21.12% |
| Jun 28, 2025 | 21.44% |
| Mar 29, 2025 | 19.48% |
| Dec 28, 2024 | 19.01% |
| Sep 28, 2024 | 19.01% |
| Jun 29, 2024 | 18.80% |
| Mar 30, 2024 | 20.39% |
| Dec 30, 2023 | 22.48% |
| Sep 30, 2023 | 24.07% |
| Jul 1, 2023 | 25.74% |
| Apr 1, 2023 | 28.74% |
| Dec 31, 2022 | 30.46% |
| Sep 24, 2022 | 31.24% |
| Jun 25, 2022 | 33.35% |
| Mar 26, 2022 | 30.97% |
| Dec 25, 2021 | 27.48% |
| Sep 25, 2021 | 21.93% |
Mueller Industries Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=MLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "MLI", "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-assets-%5Broa%5D&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();