Miller Industries (MLR) Assets (2010 - 2026)
Miller Industries (MLR) posted Assets of $609.05 million for Q2 2026, down 2.2% from $622.93 million a year earlier but up 4.0% from the prior quarter.
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Analysis
Miller Industries (MLR) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Miller Industries' Assets came in at $589.67 million, down 11.6% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Miller Industries' Assets was $667.02 million in FY2024 (+3.1%), $647.21 million in FY2023 (+29.1%), $501.43 million in FY2022 (+14.6%) and $437.64 million in FY2021 (+9.8%).
- Quarterly Assets has run from a low of $408.63 million in Q3 2021 to a high of $755.35 million in Q3 2024 over five years.
- On a year-over-year basis, Assets has declined in each of the last six quarters, with an average decline of 4.4% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2023, with growth of 29.1%; the weakest was Q3 2025, with a decline of 20.0%.
- According to Business Quant data, Assets for the three prior quarters was $585.59 million (Q1 2026), $589.67 million (Q4 2025) and $604.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 609.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 609.05 Mn |
| Mar 31, 2026 | 585.59 Mn |
| Dec 31, 2025 | 589.67 Mn |
| Sep 30, 2025 | 604.34 Mn |
| Jun 30, 2025 | 622.93 Mn |
| Mar 31, 2025 | 639.71 Mn |
| Dec 31, 2024 | 667.02 Mn |
| Sep 30, 2024 | 755.35 Mn |
| Jun 30, 2024 | 748.17 Mn |
| Mar 31, 2024 | 696.53 Mn |
| Dec 31, 2023 | 647.21 Mn |
| Sep 30, 2023 | 587.41 Mn |
| Jun 30, 2023 | 607.00 Mn |
| Mar 31, 2023 | 558.17 Mn |
| Dec 31, 2022 | 501.43 Mn |
| Sep 30, 2022 | 477.26 Mn |
| Jun 30, 2022 | 497.85 Mn |
| Mar 31, 2022 | 467.48 Mn |
| Dec 31, 2021 | 437.64 Mn |
| Sep 30, 2021 | 408.63 Mn |
API Access
Miller Industries Assets 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=assets&ticker=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();