Miller Industries (MLR) Selling, General & Administrative (2010 - 2026)
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Analysis
Miller Industries (MLR) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 1.80 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 979.90 Mn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 1.28 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 556.90 Mn |
| 10 | Miller Industries | 523.39 Mn | 309.65 Mn | 29.78 Mn | 22.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.00 Mn |
| Jun 30, 2026 | 25.18 Mn |
| Mar 31, 2026 | 23.95 Mn |
| Dec 31, 2025 | 21.07 Mn |
| Sep 30, 2025 | 21.25 Mn |
| Jun 30, 2025 | 23.40 Mn |
| Mar 31, 2025 | 23.26 Mn |
| Dec 31, 2024 | 19.68 Mn |
| Sep 30, 2024 | 22.33 Mn |
| Jun 30, 2024 | 22.77 Mn |
| Mar 31, 2024 | 21.54 Mn |
| Dec 31, 2023 | 16.37 Mn |
| Sep 30, 2023 | 19.32 Mn |
| Jun 30, 2023 | 19.48 Mn |
| Mar 31, 2023 | 17.92 Mn |
| Dec 31, 2022 | 13.12 Mn |
| Sep 30, 2022 | 14.67 Mn |
| Jun 30, 2022 | 12.65 Mn |
| Mar 31, 2022 | 12.39 Mn |
| Dec 31, 2021 | 11.18 Mn |
API Access
Miller Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=MLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();