Mettler Toledo International (MTD) Shares Outstanding (Entity) (2009 - 2026)
Mettler Toledo International (MTD) posted Shares Outstanding (Entity) of 21.68 million for Q2 2026, unchanged from 21.68 million a year earlier and up 1.5% from the prior quarter.
Mettler Toledo International (MTD) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Mettler Toledo International's Shares Outstanding (Entity) came in at 21.53 million, unchanged from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's Shares Outstanding (Entity) was 21.53 million in FY2024 (unchanged), 21.53 million in FY2023 (-2.8%), 22.14 million in FY2022 (-3.1%) and 22.84 million in FY2021 (-5.3%).
- Quarterly Shares Outstanding (Entity) has run from a low of 21.36 million in Q1 2024 to a high of 23.79 million in Q3 2021 over five years.
- Across the past five years, year-over-year decline in Shares Outstanding (Entity) ran from 0.0% in Q2 2026 to 6.3% in Q3 2022.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 21.36 million (Q1 2026), 21.53 million (Q4 2025) and 21.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 384.94 Mn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 557.80 Mn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 515.72 Mn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 284.80 Mn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 21.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.68 Mn |
| Mar 31, 2026 | 21.36 Mn |
| Dec 31, 2025 | 21.53 Mn |
| Sep 30, 2025 | 21.68 Mn |
| Jun 30, 2025 | 21.68 Mn |
| Mar 31, 2025 | 21.36 Mn |
| Dec 31, 2024 | 21.53 Mn |
| Sep 30, 2024 | 21.68 Mn |
| Jun 30, 2024 | 21.68 Mn |
| Mar 31, 2024 | 21.36 Mn |
| Dec 31, 2023 | 21.53 Mn |
| Sep 30, 2023 | 21.86 Mn |
| Jun 30, 2023 | 21.86 Mn |
| Mar 31, 2023 | 22.68 Mn |
| Dec 31, 2022 | 22.14 Mn |
| Sep 30, 2022 | 22.29 Mn |
| Jun 30, 2022 | 22.51 Mn |
| Mar 31, 2022 | 22.68 Mn |
| Dec 31, 2021 | 22.84 Mn |
| Sep 30, 2021 | 23.79 Mn |
Mettler Toledo International Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();