Mueller Industries (MLI) Return on Sales [ROS] (2009 - 2026)
Mueller Industries (MLI) reported Return on Sales [ROS] of 19.85% for Q3 2026, down 5.77 percentage points from 25.62% a year earlier and down 1.86 percentage points from the prior quarter.
Mueller Industries (MLI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Mueller Industries' Return on Sales [ROS] came in at 21.51%, down 1.61 percentage points year-over-year; for FY2025, it was 22.94%, up 2.50 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +12.69 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 20.44% in FY2024 (-1.66 pp), 22.10% in FY2023 (+0.08 pp), 22.03% in FY2022 (+4.63 pp) and 17.40% in FY2021 (+7.15 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 17.87% in Q4 2025 and a high of 26.72% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of +0.47 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2022 (a gain of 9.75 percentage points); the low point was Q3 2026 (a drop of 5.77 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 21.71% (Q2 2026), 26.17% (Q1 2026) and 17.87% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Mueller Industries | 11.99 Bn | 6.34 Bn | 361.44 Mn | 19.85% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 19.85% |
| Jun 27, 2026 | 21.71% |
| Mar 28, 2026 | 26.17% |
| Dec 27, 2025 | 17.87% |
| Sep 27, 2025 | 25.62% |
| Jun 28, 2025 | 26.72% |
| Mar 29, 2025 | 20.62% |
| Dec 28, 2024 | 18.44% |
| Sep 28, 2024 | 20.71% |
| Jun 29, 2024 | 21.05% |
| Mar 30, 2024 | 21.59% |
| Dec 30, 2023 | 18.47% |
| Sep 30, 2023 | 22.08% |
| Jul 1, 2023 | 23.49% |
| Apr 1, 2023 | 23.59% |
| Dec 31, 2022 | 21.70% |
| Sep 24, 2022 | 21.71% |
| Jun 25, 2022 | 23.38% |
| Mar 26, 2022 | 21.06% |
| Dec 25, 2021 | 18.00% |
Mueller Industries 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=MLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();