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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 0.69 |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 2.11 |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 8.52 |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 1.27 |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 1.28 |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 1.79 |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 2.84 |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 11.55 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();