Mettler Toledo International (MTD) Selling, General & Administrative (2009 - 2026)
Powered by 
Analysis
Mettler Toledo International (MTD) Selling, General & Administrative (2009 - 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 | Mettler Toledo International | 34.67 Bn | 34.42 Bn | 650.22 Mn | 263.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 263.33 Mn |
| Mar 31, 2026 | 258.33 Mn |
| Dec 31, 2025 | 259.83 Mn |
| Sep 30, 2025 | 248.39 Mn |
| Jun 30, 2025 | 247.30 Mn |
| Mar 31, 2025 | 242.80 Mn |
| Dec 31, 2024 | 237.34 Mn |
| Sep 30, 2024 | 228.78 Mn |
| Jun 30, 2024 | 235.80 Mn |
| Mar 31, 2024 | 234.39 Mn |
| Dec 31, 2023 | 223.43 Mn |
| Sep 30, 2023 | 217.45 Mn |
| Jun 30, 2023 | 228.59 Mn |
| Mar 31, 2023 | 234.64 Mn |
| Dec 31, 2022 | 227.59 Mn |
| Sep 30, 2022 | 233.36 Mn |
| Jun 30, 2022 | 242.21 Mn |
| Mar 31, 2022 | 235.31 Mn |
| Dec 31, 2021 | 242.45 Mn |
| Sep 30, 2021 | 240.73 Mn |
API Access
Mettler Toledo International 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=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MTD", "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=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();