Miller Industries (MLR) Capital Expenditures (2010 - 2026)
Miller Industries (MLR) reported Capital Expenditures of $4.19 million for Q2 2026, up 149.9% from $1.68 million a year earlier but down 47.1% from the prior quarter.
Miller Industries (MLR) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Miller Industries' Capital Expenditures came in at $19.02 million, up 32.4% year-over-year; for FY2025, it came in at $13.71 million, down 10.7% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $15.35 million in FY2024 (+26.9%), $12.1 million in FY2023 (-58.2%), $28.94 million in FY2022 (+216.3%) and $9.15 million in FY2021 (-47.7%).
- Five-year quarterly Capital Expenditures spans a low of $1.27 million in Q4 2024 and a high of $18.75 million in Q2 2022.
- Year over year, Capital Expenditures has now increased in each of the last three quarters, with growth averaging 56.8% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q2 2022 (growth of 540.1%); the low point was Q2 2023 (a decline of 74.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.92 million (Q1 2026), $5.11 million (Q4 2025) and $1.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 4.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.19 Mn |
| Mar 31, 2026 | 7.92 Mn |
| Dec 31, 2025 | 5.11 Mn |
| Sep 30, 2025 | 1.80 Mn |
| Jun 30, 2025 | 1.68 Mn |
| Mar 31, 2025 | 5.13 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Sep 30, 2024 | 6.29 Mn |
| Jun 30, 2024 | 3.12 Mn |
| Mar 31, 2024 | 4.67 Mn |
| Dec 31, 2023 | 2.36 Mn |
| Sep 30, 2023 | 3.12 Mn |
| Jun 30, 2023 | 4.86 Mn |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | 3.81 Mn |
| Sep 30, 2022 | 2.29 Mn |
| Jun 30, 2022 | 18.75 Mn |
| Mar 31, 2022 | 4.09 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 2.44 Mn |
Miller Industries Capital Expenditures 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=capital-expenditures&ticker=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();