Miller Industries (MLR) EBITDA (2010 - 2026)
Miller Industries (MLR) recorded EBITDA of $14.74 million in Q2 2026, down 1.1% from $14.9 million a year earlier but up 147.6% from the prior quarter.
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Analysis
Miller Industries (MLR) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Miller Industries' EBITDA came in at $37.56 million as of Jun 30, 2026, down 46.3% year-over-year; for FY2025, it came in at $46.11 million, down 53.2% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $98.58 million in FY2024 (+7.1%), $92.01 million in FY2023 (+122.3%), $41.39 million in FY2022 (+19.4%) and $34.66 million in FY2021 (-28.2%).
- Quarterly EBITDA has ranged from $5.75 million in Q1 2022 to $31.81 million in Q2 2024 over the past five years.
- On a year-over-year basis, EBITDA has declined for eight consecutive quarters, with an average decline of 39.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 176.5% in Q2 2023, against a decline of 67.5% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.96 million (Q1 2026), $9.27 million (Q4 2025) and $7.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 14.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.74 Mn |
| Mar 31, 2026 | 5.96 Mn |
| Dec 31, 2025 | 9.27 Mn |
| Sep 30, 2025 | 7.60 Mn |
| Jun 30, 2025 | 14.90 Mn |
| Mar 31, 2025 | 14.34 Mn |
| Dec 31, 2024 | 17.24 Mn |
| Sep 30, 2024 | 23.40 Mn |
| Jun 30, 2024 | 31.81 Mn |
| Mar 31, 2024 | 26.21 Mn |
| Dec 31, 2023 | 25.84 Mn |
| Sep 30, 2023 | 26.85 Mn |
| Jun 30, 2023 | 23.65 Mn |
| Mar 31, 2023 | 15.64 Mn |
| Dec 31, 2022 | 15.58 Mn |
| Sep 30, 2022 | 11.51 Mn |
| Jun 30, 2022 | 8.55 Mn |
| Mar 31, 2022 | 5.75 Mn |
| Dec 31, 2021 | 7.33 Mn |
| Sep 30, 2021 | 8.64 Mn |
API Access
Miller Industries EBITDA 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=ebitda&ticker=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();