Mettler Toledo International (MTD) Other Non-Current Assets (2009 - 2026)
Analysis
Mettler Toledo International (MTD) Other Non-Current Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.80 Bn | 243.49 Bn | 7.76 Bn | 6.52 Bn |
| 2 | Amphenol | 195.24 Bn | 190.08 Bn | 4.02 Bn | 1.26 Bn |
| 3 | Deere | 182.36 Bn | 191.12 Bn | 4.66 Bn | 3.46 Bn |
| 4 | Eaton | 137.06 Bn | 134.04 Bn | 3.11 Bn | 2.53 Bn |
| 5 | Parker-Hannifin | 114.61 Bn | 112.74 Bn | 2.25 Bn | 1.54 Bn |
| 6 | 3M | 100.26 Bn | 82.67 Bn | 2.78 Bn | 6.45 Bn |
| 7 | Emerson Electric | 94.99 Bn | 87.75 Bn | 2.66 Bn | 2.88 Bn |
| 8 | Illinois Tool Works | 83.42 Bn | 80.09 Bn | 1.91 Bn | 1.54 Bn |
| 9 | Vertiv Holdings | 79.14 Bn | 67.99 Bn | 1.64 Bn | 123.90 Mn |
| 10 | Mettler Toledo International | 37.39 Bn | 37.14 Bn | 650.22 Mn | 448.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 448.88 Mn |
| Mar 31, 2026 | 454.16 Mn |
| Dec 31, 2025 | 444.83 Mn |
| Sep 30, 2025 | 376.78 Mn |
| Jun 30, 2025 | 363.84 Mn |
| Mar 31, 2025 | 331.16 Mn |
| Dec 31, 2024 | 315.17 Mn |
| Sep 30, 2024 | 364.50 Mn |
| Jun 30, 2024 | 338.13 Mn |
| Mar 31, 2024 | 326.84 Mn |
| Dec 31, 2023 | 335.24 Mn |
| Sep 30, 2023 | 353.09 Mn |
| Jun 30, 2023 | 355.64 Mn |
| Mar 31, 2023 | 353.14 Mn |
| Dec 31, 2022 | 345.40 Mn |
| Sep 30, 2022 | 281.45 Mn |
| Jun 30, 2022 | 272.06 Mn |
| Mar 31, 2022 | 264.71 Mn |
| Dec 31, 2021 | 262.51 Mn |
| Sep 30, 2021 | 210.08 Mn |
API Access
Mettler Toledo International Other Non-Current Assets 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=other-non-current-assets&ticker=MTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();