Miller Industries (MLR) Operating Income (2010 - 2026)
Miller Industries (MLR) recorded Operating Income of $7.78 million in Q3 2026, up 90.5% from $4.09 million a year earlier but down 27.7% from the prior quarter.
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Analysis
Miller Industries (MLR) Operating Income (2010 - 2026) Analysis & Trends
On a TTM basis, Miller Industries' Operating Income came in at $25.73 million as of Sep 30, 2026, down 35.2% year-over-year; for FY2025, it was $31.41 million, down 62.8% from FY2024.
- Annual Operating Income has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $84.48 million in FY2024 (+7.3%), $78.77 million in FY2023 (+166.2%), $29.59 million in FY2022 (+25.3%) and $23.62 million in FY2021 (-38.9%).
- Quarterly Operating Income has ranged from $1.73 million in Q1 2026 to $28.31 million in Q2 2024 over the past five years.
- On a year-over-year basis, Operating Income rose in 1 of the last eight quarters, with an average decline of 36.0%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 322.9% in Q1 2023, against a decline of 83.8% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.76 million (Q2 2026), $1.73 million (Q1 2026) and $5.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 4.21 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 3.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 1.59 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 1.20 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 1.56 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 1.31 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 1.18 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 983.80 Mn |
| 10 | Miller Industries | 523.39 Mn | 309.65 Mn | 29.78 Mn | 7.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.78 Mn |
| Jun 30, 2026 | 10.76 Mn |
| Mar 31, 2026 | 1.73 Mn |
| Dec 31, 2025 | 5.46 Mn |
| Sep 30, 2025 | 4.09 Mn |
| Jun 30, 2025 | 11.18 Mn |
| Mar 31, 2025 | 10.68 Mn |
| Dec 31, 2024 | 13.78 Mn |
| Sep 30, 2024 | 19.70 Mn |
| Jun 30, 2024 | 28.31 Mn |
| Mar 31, 2024 | 22.70 Mn |
| Dec 31, 2023 | 22.27 Mn |
| Sep 30, 2023 | 23.55 Mn |
| Jun 30, 2023 | 20.45 Mn |
| Mar 31, 2023 | 12.49 Mn |
| Dec 31, 2022 | 12.41 Mn |
| Sep 30, 2022 | 8.51 Mn |
| Jun 30, 2022 | 5.72 Mn |
| Mar 31, 2022 | 2.95 Mn |
| Dec 31, 2021 | 4.42 Mn |
API Access
Miller Industries Operating Income 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=operating-income&ticker=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();