Mettler Toledo International (MTD) Shares Outstanding (Diluted) (2009 - 2026)
Mettler Toledo International (MTD) posted Shares Outstanding (Diluted) of 20.17 million for Q2 2026, down 2.8% from 20.74 million a year earlier and down 0.8% from the prior quarter.
Mettler Toledo International (MTD) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Mettler Toledo International's Shares Outstanding (Diluted) came in at 20.67 million, down 3.0% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for 16 consecutive years, with a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's Shares Outstanding (Diluted) was 21.32 million in FY2024 (-3.0%), 21.97 million in FY2023 (-3.3%), 22.72 million in FY2022 (-3.2%) and 23.46 million in FY2021 (-3.1%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 64 quarters, with an average decline of 3.0% over the last eight quarters.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 20.34 million (Q1 2026), 20.67 million (Q4 2025) and 20.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 392.75 Mn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 561.10 Mn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 522.40 Mn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 20.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.17 Mn |
| Mar 31, 2026 | 20.34 Mn |
| Dec 31, 2025 | 20.67 Mn |
| Sep 30, 2025 | 20.57 Mn |
| Jun 30, 2025 | 20.74 Mn |
| Mar 31, 2025 | 20.95 Mn |
| Dec 31, 2024 | 21.32 Mn |
| Sep 30, 2024 | 21.24 Mn |
| Jun 30, 2024 | 21.39 Mn |
| Mar 31, 2024 | 21.54 Mn |
| Dec 31, 2023 | 21.97 Mn |
| Sep 30, 2023 | 21.89 Mn |
| Jun 30, 2023 | 22.08 Mn |
| Mar 31, 2023 | 22.25 Mn |
| Dec 31, 2022 | 22.72 Mn |
| Sep 30, 2022 | 22.61 Mn |
| Jun 30, 2022 | 22.82 Mn |
| Mar 31, 2022 | 23.04 Mn |
| Dec 31, 2021 | 23.46 Mn |
| Sep 30, 2021 | 23.39 Mn |
Mettler Toledo International Shares Outstanding (Diluted) 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-diluted&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();