Mettler Toledo International (MTD) Enterprise Value (2009 - 2026)
Mettler Toledo International (MTD) reported Enterprise Value of $27.65 billion for Q2 2026, up 8.8% from $25.41 billion a year earlier and up 2.9% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mettler Toledo International's Enterprise Value came in at $27.45 billion, up 8.9% year-over-year; for FY2025, it came in at $29.94 billion, up 13.9% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By year, Enterprise Value came in at $26.28 billion in FY2024 (+0.9%), $26.04 billion in FY2023 (-18.4%), $31.9 billion in FY2022 (-17.5%) and $38.67 billion in FY2021 (+41.1%).
- Five-year quarterly Enterprise Value spans a low of $24.05 billion in Q3 2022 and a high of $38.67 billion in Q4 2021.
- Year over year, Enterprise Value has now increased in each of the last three quarters, with growth averaging 2.4% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was Q3 2021 (growth of 42.8%); the low point was Q3 2022 (a decline of 26.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $26.88 billion (Q1 2026), $29.94 billion (Q4 2025) and $26.55 billion (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.65 Bn |
| Mar 31, 2026 | 26.88 Bn |
| Dec 31, 2025 | 29.94 Bn |
| Sep 30, 2025 | 26.55 Bn |
| Jun 30, 2025 | 25.41 Bn |
| Mar 31, 2025 | 25.16 Bn |
| Dec 31, 2024 | 26.28 Bn |
| Sep 30, 2024 | 32.45 Bn |
| Jun 30, 2024 | 30.23 Bn |
| Mar 31, 2024 | 28.36 Bn |
| Dec 31, 2023 | 26.04 Bn |
| Sep 30, 2023 | 24.16 Bn |
| Jun 30, 2023 | 28.60 Bn |
| Mar 31, 2023 | 34.62 Bn |
| Dec 31, 2022 | 31.90 Bn |
| Sep 30, 2022 | 24.05 Bn |
| Jun 30, 2022 | 25.75 Bn |
| Mar 31, 2022 | 31.03 Bn |
| Dec 31, 2021 | 38.67 Bn |
| Sep 30, 2021 | 32.59 Bn |
API Access
Mettler Toledo International Enterprise Value 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=enterprise-value&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();