Mettler Toledo International (MTD) Net of Acquisitions & Divestments (2009 - 2026)
Analysis
Mettler Toledo International (MTD) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | -106.00 Mn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | -92.20 Mn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | -16.00 Mn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 15.00 Mn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | -264.20 Mn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | - |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | - |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.24 Mn |
| Dec 31, 2025 | -18.41 Mn |
| Sep 30, 2025 | -72.51 Mn |
| Jun 30, 2025 | -2.92 Mn |
| Dec 31, 2024 | -7.62 Mn |
| Jun 30, 2024 | -1.47 Mn |
| Mar 31, 2024 | -1.00 Mn |
| Dec 31, 2023 | -5.20 Mn |
| Mar 31, 2023 | -613,000.00 |
| Dec 31, 2022 | -12.36 Mn |
| Sep 30, 2022 | -14.82 Mn |
| Jun 30, 2022 | -1.06 Mn |
| Mar 31, 2022 | -9.70 Mn |
| Dec 31, 2021 | -27.48 Mn |
| Sep 30, 2021 | -7.85 Mn |
| Jun 30, 2021 | -460,000.00 |
| Mar 31, 2021 | -185.07 Mn |
| Jun 30, 2020 | -632,000.00 |
| Mar 31, 2020 | -5.61 Mn |
| Sep 30, 2019 | -1.50 Mn |
API Access
Mettler Toledo International Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();