Miller Industries (MLR) Operating Income (2010 - 2026)
Miller Industries (MLR) recorded Operating Income of $10.76 million in Q2 2026, down 3.8% from $11.18 million a year earlier but up 520.9% from the prior quarter.
Miller Industries (MLR) Operating Income (2010 - 2026) Analysis & Trends
On a TTM basis, Miller Industries' Operating Income came in at $22.04 million as of Jun 30, 2026, down 60.2% 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 has declined for eight consecutive quarters, with an average decline of 49.4% over the last eight quarters.
- 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 $1.73 million (Q1 2026), $5.46 million (Q4 2025) and $4.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 10.76 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 5.85 Mn |
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_KEY
import 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();