Miller Industries (MLR) Return on Capital Employed [ROCE] (2011 - 2026)
Miller Industries' Return on Capital Employed [ROCE] was 5.97% in Q3 2026, down 2.35 percentage points from 8.31% a year earlier but up 0.63 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 eight straight quarters, with an average year-over-year change of -7.82 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 Q3 2026 was 5.34% (Q2 2026), 5.07% (Q1 2026) and 6.82% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 22.25% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 25.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | - |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 12.64% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 17.64% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 18.67% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 14.90% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 38.87% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 31.72% |
| 10 | Miller Industries | 523.39 Mn | 309.65 Mn | 29.78 Mn | 5.97% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.97% |
| 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% |
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();