Miller Industries (MLR) Return on Sales [ROS] (2010 - 2026)
Miller Industries (MLR) recorded Return on Sales [ROS] of 3.67% in Q3 2026, up 1.38 percentage points from 2.29% a year earlier but down 0.82 percentage points from the prior quarter.
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Analysis
Miller Industries (MLR) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Miller Industries' Return on Sales [ROS] came in at 3.20% as of Sep 30, 2026, down 1.53 percentage points year-over-year; for FY2025, it came in at 3.97%, down 2.74 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1.96 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 6.72% in FY2024 (-0.11 pp), 6.83% in FY2023 (+3.34 pp), 3.49% in FY2022 (+0.20 pp) and 3.29% in FY2021 (-2.64 pp).
- Quarterly Return on Sales [ROS] has ranged from 0.96% in Q1 2026 to 8.58% in Q3 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in 1 of the last eight quarters, with an average year-over-year change of -1.95 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.44 percentage points in Q3 2023, against a drop of 6.11 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.48% (Q2 2026), 0.96% (Q1 2026) and 3.18% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 273.32 Bn | 244.63 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 196.72 Bn | 191.41 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 186.25 Bn | 154.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 140.70 Bn | 137.63 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 120.71 Bn | 118.60 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.63 Bn | 79.07 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 95.61 Bn | 88.35 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 81.97 Bn | 78.65 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 77.69 Bn | 66.54 Bn | 1.64 Bn | 22.81% |
| 10 | Miller Industries | 545.54 Mn | 331.80 Mn | 29.78 Mn | 3.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.67% |
| Jun 30, 2026 | 4.48% |
| Mar 31, 2026 | 0.96% |
| Dec 31, 2025 | 3.18% |
| Sep 30, 2025 | 2.29% |
| Jun 30, 2025 | 5.22% |
| Mar 31, 2025 | 4.73% |
| Dec 31, 2024 | 6.21% |
| Sep 30, 2024 | 6.27% |
| Jun 30, 2024 | 7.62% |
| Mar 31, 2024 | 6.49% |
| Dec 31, 2023 | 7.52% |
| Sep 30, 2023 | 8.58% |
| Jun 30, 2023 | 6.81% |
| Mar 31, 2023 | 4.43% |
| Dec 31, 2022 | 5.49% |
| Sep 30, 2022 | 4.14% |
| Jun 30, 2022 | 2.84% |
| Mar 31, 2022 | 1.37% |
| Dec 31, 2021 | 2.19% |
API Access
Miller 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=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();