Mettler Toledo International (MTD) EV to EBITDA (2010 - 2026)
Mettler Toledo International's EV to EBITDA came in at 20.32 for Q2 2026, up 2.2% from 19.88 a year earlier but down 1.0% from the prior quarter.
Mettler Toledo International (MTD) EV to EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mettler Toledo International reported EV to EBITDA of 20.17, up 2.3% year-over-year; for FY2025, it was 23.02, up 14.2% from FY2024.
- Going back by year, EV to EBITDA was 20.16 in FY2024 (-4.0%), 20.99 in FY2023 (-14.7%), 24.62 in FY2022 (-26.1%) and 33.32 in FY2021 (+13.0%).
- The five-year range for quarterly EV to EBITDA is 18.22 (Q3 2023) to 33.32 (Q4 2021).
- Year-over-year, EV to EBITDA has increased for three consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in Q3 2024 (growth of 45.8%), and the weakest in Q3 2022 (a decline of 33.5%).
- Business Quant data shows MTD's EV to EBITDA at 20.52 (Q1 2026), 23.02 (Q4 2025) and 20.58 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.32 |
| Mar 31, 2026 | 20.52 |
| Dec 31, 2025 | 23.02 |
| Sep 30, 2025 | 20.58 |
| Jun 30, 2025 | 19.88 |
| Mar 31, 2025 | 19.69 |
| Dec 31, 2024 | 20.16 |
| Sep 30, 2024 | 26.55 |
| Jun 30, 2024 | 24.86 |
| Mar 31, 2024 | 22.93 |
| Dec 31, 2023 | 20.99 |
| Sep 30, 2023 | 18.22 |
| Jun 30, 2023 | 21.33 |
| Mar 31, 2023 | 26.18 |
| Dec 31, 2022 | 24.62 |
| Sep 30, 2022 | 19.15 |
| Jun 30, 2022 | 21.08 |
| Mar 31, 2022 | 26.03 |
| Dec 31, 2021 | 33.32 |
| Sep 30, 2021 | 28.82 |
Mettler Toledo International EV to EBITDA 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=ev-to-ebitda&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();