Miller Industries (MLR) Accumulated Expenses (2010 - 2026)
Miller Industries (MLR) posted Accumulated Expenses of $54.26 million for Q2 2026, up 16.4% from $46.61 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Miller Industries (MLR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Miller Industries' Accumulated Expenses came in at $55.6 million, up 7.5% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- In prior years, Miller Industries' Accumulated Expenses was $51.7 million in FY2024 (+26.7%), $40.79 million in FY2023 (+44.0%), $28.33 million in FY2022 (+24.4%) and $22.78 million in FY2021 (-8.0%).
- Quarterly Accumulated Expenses has run from a low of $22.78 million in Q4 2021 to a high of $56.22 million in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 13.6% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 44.0%; the weakest was Q3 2021, with a decline of 10.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $56.22 million (Q1 2026), $55.6 million (Q4 2025) and $52.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.26 Mn |
| Mar 31, 2026 | 56.22 Mn |
| Dec 31, 2025 | 55.60 Mn |
| Sep 30, 2025 | 52.11 Mn |
| Jun 30, 2025 | 46.61 Mn |
| Mar 31, 2025 | 39.52 Mn |
| Dec 31, 2024 | 51.70 Mn |
| Sep 30, 2024 | 54.80 Mn |
| Jun 30, 2024 | 49.55 Mn |
| Mar 31, 2024 | 43.51 Mn |
| Dec 31, 2023 | 40.79 Mn |
| Sep 30, 2023 | 40.23 Mn |
| Jun 30, 2023 | 34.54 Mn |
| Mar 31, 2023 | 30.26 Mn |
| Dec 31, 2022 | 28.33 Mn |
| Sep 30, 2022 | 30.12 Mn |
| Jun 30, 2022 | 25.40 Mn |
| Mar 31, 2022 | 23.02 Mn |
| Dec 31, 2021 | 22.78 Mn |
| Sep 30, 2021 | 25.55 Mn |
API Access
Miller Industries Accumulated Expenses 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=accumulated-expenses&ticker=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();