Miller Industries (MLR) Non-Current Assets (2010 - 2026)
Miller Industries (MLR) recorded Non-Current Assets of $155.35 million in Q2 2026, up 13.0% from $137.52 million a year earlier but down 0.1% from the prior quarter.
Miller Industries (MLR) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Miller Industries reported Non-Current Assets of $150.08 million, up 9.4% from FY2024.
- Annual Non-Current Assets has increased for four straight years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $137.25 million in FY2024 (+0.4%), $136.74 million in FY2023 (+9.1%), $125.38 million in FY2022 (+15.4%) and $108.68 million in FY2021 (-3.1%).
- Quarterly Non-Current Assets has ranged from $108.68 million in Q4 2021 to $155.49 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 15.4% in Q4 2022, against a decline of 3.6% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $155.49 million (Q1 2026), $150.08 million (Q4 2025) and $134.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 155.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.35 Mn |
| Mar 31, 2026 | 155.49 Mn |
| Dec 31, 2025 | 150.08 Mn |
| Sep 30, 2025 | 134.88 Mn |
| Jun 30, 2025 | 137.52 Mn |
| Mar 31, 2025 | 138.76 Mn |
| Dec 31, 2024 | 137.25 Mn |
| Sep 30, 2024 | 139.89 Mn |
| Jun 30, 2024 | 137.17 Mn |
| Mar 31, 2024 | 137.72 Mn |
| Dec 31, 2023 | 136.74 Mn |
| Sep 30, 2023 | 138.30 Mn |
| Jun 30, 2023 | 138.10 Mn |
| Mar 31, 2023 | 124.13 Mn |
| Dec 31, 2022 | 125.38 Mn |
| Sep 30, 2022 | 125.73 Mn |
| Jun 30, 2022 | 126.84 Mn |
| Mar 31, 2022 | 111.21 Mn |
| Dec 31, 2021 | 108.68 Mn |
| Sep 30, 2021 | 111.69 Mn |
Miller Industries Non-Current 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=non-current-assets&ticker=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();