Mueller Industries (MLI) Return on Capital Employed [ROCE] (2009 - 2026)
Mueller Industries (MLI) recorded Return on Capital Employed [ROCE] of 29.70% in Q3 2026, down 1.28 percentage points from 30.98% a year earlier and down 0.84 percentage points from the prior quarter.
Mueller Industries (MLI) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Mueller Industries reported Return on Capital Employed [ROCE] of 30.93%, up 1.61 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +8.79 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 29.32% in FY2024 (-5.30 pp), 34.62% in FY2023 (-18.95 pp), 53.57% in FY2022 (+0.95 pp) and 52.62% in FY2021 (+30.48 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from 26.82% in Q3 2024 to 56.23% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in four of the last eight quarters, with an average year-over-year change of +0.82 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 32.12 percentage points in Q1 2022, against a drop of 17.97 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 30.55% (Q2 2026), 31.89% (Q1 2026) and 29.03% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 22.25% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 25.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.64% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 17.64% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 18.67% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 15.15% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 38.87% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 31.72% |
| 10 | Mueller Industries | 11.99 Bn | 6.34 Bn | 361.44 Mn | 29.70% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 29.70% |
| Jun 27, 2026 | 30.55% |
| Mar 28, 2026 | 31.89% |
| Dec 27, 2025 | 29.03% |
| Sep 27, 2025 | 30.98% |
| Jun 28, 2025 | 30.56% |
| Mar 29, 2025 | 28.28% |
| Dec 28, 2024 | 27.03% |
| Sep 28, 2024 | 26.82% |
| Jun 29, 2024 | 27.37% |
| Mar 30, 2024 | 28.81% |
| Dec 30, 2023 | 31.58% |
| Sep 30, 2023 | 35.31% |
| Jul 1, 2023 | 38.26% |
| Apr 1, 2023 | 45.72% |
| Dec 31, 2022 | 47.99% |
| Sep 24, 2022 | 50.42% |
| Jun 25, 2022 | 56.23% |
| Mar 26, 2022 | 56.00% |
| Dec 25, 2021 | 48.71% |
Mueller Industries 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=MLI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();