Miller Industries (MLR) Property, Plant & Equipment (Net) (2010 - 2026)
Miller Industries (MLR) recorded Property, Plant & Equipment (Net) of $134.38 million in Q3 2026, up 18.4% from $113.52 million a year earlier and up 5.0% from the prior quarter.
Miller Industries (MLR) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Miller Industries reported Property, Plant & Equipment (Net) of $123.81 million, up 6.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for four straight years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $115.98 million in FY2024 (+0.8%), $115.07 million in FY2023 (+2.6%), $112.15 million in FY2022 (+17.7%) and $95.29 million in FY2021 (-2.2%).
- The Q3 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 18.4% in Q3 2026, against a decline of 4.3% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $127.98 million (Q2 2026), $127.84 million (Q1 2026) and $123.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 270.66 Bn | 241.96 Bn | 7.35 Bn | 16.01 Bn |
| 2 | Amphenol | 192.80 Bn | 187.50 Bn | 4.02 Bn | 3.24 Bn |
| 3 | Deere | 186.50 Bn | 154.59 Bn | 4.66 Bn | - |
| 4 | Eaton | 138.51 Bn | 135.44 Bn | 3.11 Bn | 4.82 Bn |
| 5 | Parker-Hannifin | 119.41 Bn | 117.29 Bn | 2.26 Bn | 3.43 Bn |
| 6 | 3M | 96.56 Bn | 78.00 Bn | 2.78 Bn | 6.97 Bn |
| 7 | Emerson Electric | 94.62 Bn | 87.36 Bn | 2.66 Bn | 2.86 Bn |
| 8 | Illinois Tool Works | 81.39 Bn | 78.06 Bn | 1.91 Bn | 2.25 Bn |
| 9 | Vertiv Holdings | 76.28 Bn | 65.12 Bn | 1.64 Bn | 1.32 Bn |
| 10 | Miller Industries | 540.95 Mn | 327.22 Mn | 29.78 Mn | 134.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 134.38 Mn |
| Jun 30, 2026 | 127.98 Mn |
| Mar 31, 2026 | 127.84 Mn |
| Dec 31, 2025 | 123.81 Mn |
| Sep 30, 2025 | 113.52 Mn |
| Jun 30, 2025 | 115.97 Mn |
| Mar 31, 2025 | 117.50 Mn |
| Dec 31, 2024 | 115.98 Mn |
| Sep 30, 2024 | 118.57 Mn |
| Jun 30, 2024 | 115.77 Mn |
| Mar 31, 2024 | 116.17 Mn |
| Dec 31, 2023 | 115.07 Mn |
| Sep 30, 2023 | 116.22 Mn |
| Jun 30, 2023 | 116.06 Mn |
| Mar 31, 2023 | 110.98 Mn |
| Dec 31, 2022 | 112.15 Mn |
| Sep 30, 2022 | 111.34 Mn |
| Jun 30, 2022 | 112.35 Mn |
| Mar 31, 2022 | 96.67 Mn |
| Dec 31, 2021 | 95.29 Mn |
Miller Industries Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();