Mettler Toledo International (MTD) EBIT (2009 - 2026)
Mettler Toledo International (MTD) posted EBIT of $328.45 million for Q2 2026, up 17.4% from $279.74 million a year earlier and up 37.5% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Mettler Toledo International was $1.23 billion, up 6.3% year-over-year; for FY2025, it came in at $1.18 billion, down 0.4% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's EBIT was $1.18 billion in FY2024 (+5.4%), $1.12 billion in FY2023 (-5.4%), $1.18 billion in FY2022 (+12.4%) and $1.05 billion in FY2021 (+26.8%).
- Quarterly EBIT has run from a low of $232.97 million in Q1 2025 to a high of $358.44 million in Q4 2025 over five years.
- On a year-over-year basis, EBIT has increased in each of the last five quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2024, with growth of 30.2%; the weakest was Q4 2023, with a decline of 24.7%.
- According to Business Quant data, EBIT for the three prior quarters was $238.95 million (Q1 2026), $358.44 million (Q4 2025) and $303.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 4.30 Bn |
| 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 | 1.86 Bn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 328.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 328.45 Mn |
| Mar 31, 2026 | 238.95 Mn |
| Dec 31, 2025 | 358.44 Mn |
| Sep 30, 2025 | 303.95 Mn |
| Jun 30, 2025 | 279.74 Mn |
| Mar 31, 2025 | 232.97 Mn |
| Dec 31, 2024 | 349.77 Mn |
| Sep 30, 2024 | 293.94 Mn |
| Jun 30, 2024 | 278.77 Mn |
| Mar 31, 2024 | 257.66 Mn |
| Dec 31, 2023 | 268.72 Mn |
| Sep 30, 2023 | 288.58 Mn |
| Jun 30, 2023 | 299.68 Mn |
| Mar 31, 2023 | 262.18 Mn |
| Dec 31, 2022 | 356.86 Mn |
| Sep 30, 2022 | 305.15 Mn |
| Jun 30, 2022 | 283.66 Mn |
| Mar 31, 2022 | 237.23 Mn |
| Dec 31, 2021 | 316.55 Mn |
| Sep 30, 2021 | 272.16 Mn |
API Access
Mettler Toledo International EBIT 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=ebit&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();