Mettler Toledo International (MTD) Price to Book (2009 - 2026)
Mettler Toledo International's (MTD) Price to Book came in at 2160.28 for Q2 2026.
Analysis
Mettler Toledo International (MTD) Price to Book (2009 - 2026) Analysis & Trends
For FY2022, Mettler Toledo International's Price to Book stood at 1290.72, up 470.7% from FY2021.
- Annual Price to Book has increased for four consecutive years.
- In prior years, Mettler Toledo International's Price to Book was 226.17 in FY2021 (+132.5%), 97.27 in FY2020 (+113.9%), 45.48 in FY2019 (+90.4%) and 23.89 in FY2018 (-17.4%).
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q2 2022.
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 | 2,160.28 |
| Dec 31, 2022 | 1,290.72 |
| Jun 30, 2022 | 3,560.30 |
| Mar 31, 2022 | 368.27 |
| Dec 31, 2021 | 226.17 |
| Sep 30, 2021 | 205.90 |
| Jun 30, 2021 | 172.20 |
| Mar 31, 2021 | 136.35 |
| Dec 31, 2020 | 97.27 |
| Sep 30, 2020 | 51.86 |
| Jun 30, 2020 | 42.90 |
| Mar 31, 2020 | 53.88 |
| Dec 31, 2019 | 45.48 |
| Sep 30, 2019 | 39.14 |
| Jun 30, 2019 | 41.01 |
| Mar 31, 2019 | 31.92 |
| Dec 31, 2018 | 23.89 |
| Sep 30, 2018 | 28.69 |
| Jun 30, 2018 | 27.40 |
| Mar 31, 2018 | 26.04 |
API Access
Mettler Toledo International Price to Book 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=price-to-book&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();