Miller Industries (MLR) Non Operating Interest Expenses (2010 - 2026)
Miller Industries (MLR) reported Non Operating Interest Expenses of $352,000 for Q2 2026, up 19.7% from $294,000 a year earlier and up 142.8% from the prior quarter.
Miller Industries (MLR) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Miller Industries' Non Operating Interest Expenses came in at $768,000, down 25.0% year-over-year; for FY2025, it came in at $660,000, down 83.2% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $3.93 million in FY2024 (-34.2%), $5.97 million in FY2023 (+76.8%), $3.38 million in FY2022 (+149.4%) and $1.36 million in FY2021 (+11.5%).
- The Q2 2026 figure ranks as the highest quarterly Non Operating Interest Expenses since Q4 2024.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with an average decline of 47.7%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2022 (growth of 264.3%); the low point was Q1 2025 (a decline of 92.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $145,000 (Q1 2026), $178,000 (Q4 2025) and $93,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 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 | 79.00 Mn |
| 10 | Miller Industries | 594.51 Mn | 402.78 Mn | 35.94 Mn | 352,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352,000.00 |
| Mar 31, 2026 | 145,000.00 |
| Dec 31, 2025 | 178,000.00 |
| Sep 30, 2025 | 93,000.00 |
| Jun 30, 2025 | 294,000.00 |
| Mar 31, 2025 | 95,000.00 |
| Dec 31, 2024 | 384,000.00 |
| Sep 30, 2024 | 251,000.00 |
| Jun 30, 2024 | 2.05 Mn |
| Mar 31, 2024 | 1.25 Mn |
| Dec 31, 2023 | 1.45 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 1.01 Mn |
| Dec 31, 2022 | 1.29 Mn |
| Sep 30, 2022 | 1.04 Mn |
| Jun 30, 2022 | 628,000.00 |
| Mar 31, 2022 | 418,000.00 |
| Dec 31, 2021 | 454,000.00 |
| Sep 30, 2021 | 286,000.00 |
Miller Industries Non Operating Interest 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=non-operating-interest-expenses&ticker=MLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();