Miller Industries (MLR) Return on Capital Employed [ROCE] (2011 - 2026)
Miller Industries' Return on Capital Employed [ROCE] was 5.34% in Q2 2026, down 6.07 percentage points from 11.41% a year earlier but up 0.27 percentage points from the prior quarter.
Miller Industries (MLR) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Miller Industries came in at 6.39%, down 12.01 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -7.20 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 18.40% in FY2024 (-4.80 pp), 23.19% in FY2023 (+13.75 pp), 9.44% in FY2022 (+0.73 pp) and 8.71% in FY2021 (-4.87 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 5.07% (Q1 2026) and 22.59% (Q2 2024) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for seven straight quarters, with an average year-over-year change of -7.11 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2023 (a gain of 11.71 percentage points); the worst was Q3 2025 (a drop of 11.86 percentage points).
- Per Business Quant data, MLR's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 5.07% (Q1 2026), 6.82% (Q4 2025) and 8.31% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | Miller Industries | 616.99 Mn | 425.26 Mn | 35.94 Mn | 5.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.34% |
| Mar 31, 2026 | 5.07% |
| Dec 31, 2025 | 6.82% |
| Sep 30, 2025 | 8.31% |
| Jun 30, 2025 | 11.41% |
| Mar 31, 2025 | 14.55% |
| Dec 31, 2024 | 16.46% |
| Sep 30, 2024 | 20.17% |
| Jun 30, 2024 | 22.59% |
| Mar 31, 2024 | 22.40% |
| Dec 31, 2023 | 20.59% |
| Sep 30, 2023 | 16.86% |
| Jun 30, 2023 | 15.04% |
| Mar 31, 2023 | 12.04% |
| Dec 31, 2022 | 8.88% |
| Sep 30, 2022 | 6.18% |
| Jun 30, 2022 | 5.93% |
| Mar 31, 2022 | 7.52% |
| Dec 31, 2021 | 8.55% |
| Sep 30, 2021 | 11.17% |
Miller 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=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MLR", "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=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();