Miller Industries (MLR) EBITDA (2010 - 2026)
Miller Industries (MLR) recorded EBITDA of $11.07 million in Q3 2026, up 45.8% from $7.6 million a year earlier but down 24.9% 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 $41.04 million as of Sep 30, 2026, down 24.1% 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 rose in 1 of the last eight quarters, with an average decline of 32.4%.
- 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 $14.74 million (Q2 2026), $5.96 million (Q1 2026) and $9.27 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 1.69 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Miller Industries | 523.39 Mn | 309.65 Mn | 29.78 Mn | 11.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.07 Mn |
| 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 |
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();