Mettler Toledo International (MTD) Shares Outstanding (2009 - 2026)
Mettler Toledo International (MTD) posted Weighted Average Shares Outstanding of 20.12 million for Q2 2026, down 2.7% from 20.69 million a year earlier and down 0.8% from the prior quarter.
Mettler Toledo International (MTD) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Mettler Toledo International's Weighted Average Shares Outstanding came in at 20.61 million, down 2.9% from FY2024.
- Annual Weighted Average Shares Outstanding has declined for 16 consecutive years, with a five-year compound annual growth rate of -2.9% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's Weighted Average Shares Outstanding was 21.22 million in FY2024 (-2.9%), 21.85 million in FY2023 (-2.9%), 22.49 million in FY2022 (-2.8%) and 23.13 million in FY2021 (-3.2%).
- The Q2 2026 figure stands as the lowest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last 65 quarters, with an average decline of 2.8% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding ranged from 2.6% (Q1 2022) to 3.6% (Q3 2021).
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 20.29 million (Q1 2026), 20.61 million (Q4 2025) and 20.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.70 Bn | 243.40 Bn | 7.76 Bn | 460.40 Mn |
| 2 | Amphenol | 194.29 Bn | 188.99 Bn | 4.02 Bn | 2.46 Bn |
| 3 | Deere | 182.27 Bn | 150.36 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 136.46 Bn | 133.40 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 114.67 Bn | 112.79 Bn | 2.25 Bn | 126.30 Mn |
| 6 | 3M | 100.34 Bn | 81.78 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 95.00 Bn | 87.74 Bn | 2.66 Bn | 558.80 Mn |
| 8 | Illinois Tool Works | 83.43 Bn | 80.11 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 78.67 Bn | 67.52 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Mettler Toledo International | 34.58 Bn | 34.34 Bn | 650.22 Mn | 20.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.12 Mn |
| Mar 31, 2026 | 20.29 Mn |
| Dec 31, 2025 | 20.61 Mn |
| Sep 30, 2025 | 20.51 Mn |
| Jun 30, 2025 | 20.69 Mn |
| Mar 31, 2025 | 20.87 Mn |
| Dec 31, 2024 | 21.22 Mn |
| Sep 30, 2024 | 21.14 Mn |
| Jun 30, 2024 | 21.28 Mn |
| Mar 31, 2024 | 21.44 Mn |
| Dec 31, 2023 | 21.85 Mn |
| Sep 30, 2023 | 21.78 Mn |
| Jun 30, 2023 | 21.94 Mn |
| Mar 31, 2023 | 22.08 Mn |
| Dec 31, 2022 | 22.49 Mn |
| Sep 30, 2022 | 22.40 Mn |
| Jun 30, 2022 | 22.59 Mn |
| Mar 31, 2022 | 22.77 Mn |
| Dec 31, 2021 | 23.13 Mn |
| Sep 30, 2021 | 23.06 Mn |
Mettler Toledo International Shares Outstanding 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&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();