Mettler Toledo International (MTD) EPS (Diluted) (2009 - 2026)
Mettler Toledo International (MTD) posted EPS (Diluted) of $11.55 for Q2 2026, up 18.4% from $9.76 a year earlier and up 38.6% from the prior quarter.
Mettler Toledo International (MTD) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Mettler Toledo International was $44.91, up 12.2% year-over-year; for FY2025, it came in at $42.05, up 3.9% from FY2024.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's EPS (Diluted) was $40.48 in FY2024 (+12.8%), $35.90 in FY2023 (-6.5%), $38.41 in FY2022 (+17.2%) and $32.78 in FY2021 (+31.6%).
- Quarterly EPS (Diluted) has run from a low of $7.42 in Q4 2021 to a high of $13.82 in Q4 2025 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last four quarters, with growth averaging 10.7% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q4 2024, with growth of 40.7%; the weakest was Q2 2025, with a decline of 5.9%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $8.33 (Q1 2026), $13.82 (Q4 2025) and $10.57 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.80 Bn | 243.49 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 195.24 Bn | 190.08 Bn | 4.02 Bn | 0.79 |
| 3 | Deere | 182.36 Bn | 191.12 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 137.06 Bn | 134.04 Bn | 3.11 Bn | 2.77 |
| 5 | Parker-Hannifin | 114.61 Bn | 112.74 Bn | 2.25 Bn | 8.52 |
| 6 | 3M | 100.26 Bn | 82.67 Bn | 2.78 Bn | 2.63 |
| 7 | Emerson Electric | 94.99 Bn | 87.75 Bn | 2.66 Bn | 1.28 |
| 8 | Illinois Tool Works | 83.42 Bn | 80.09 Bn | 1.91 Bn | 3.00 |
| 9 | Vertiv Holdings | 79.14 Bn | 67.99 Bn | 1.64 Bn | 1.95 |
| 10 | Mettler Toledo International | 37.39 Bn | 37.14 Bn | 650.22 Mn | 11.55 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.55 |
| Mar 31, 2026 | 8.33 |
| Dec 31, 2025 | 13.82 |
| Sep 30, 2025 | 10.57 |
| Jun 30, 2025 | 9.76 |
| Mar 31, 2025 | 7.81 |
| Dec 31, 2024 | 11.83 |
| Sep 30, 2024 | 9.96 |
| Jun 30, 2024 | 10.37 |
| Mar 31, 2024 | 8.24 |
| Dec 31, 2023 | 8.41 |
| Sep 30, 2023 | 9.21 |
| Jun 30, 2023 | 9.69 |
| Mar 31, 2023 | 8.47 |
| Dec 31, 2022 | 8.29 |
| Sep 30, 2022 | 9.76 |
| Jun 30, 2022 | 9.29 |
| Mar 31, 2022 | 7.55 |
| Dec 31, 2021 | 7.42 |
| Sep 30, 2021 | 8.71 |
Mettler Toledo International EPS (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=eps-diluted&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();