Mettler Toledo International (MTD) Non-Current Assets (2009 - 2026)
Mettler Toledo International (MTD) posted Non-Current Assets of $2.32 billion for Q2 2026, up 7.8% from $2.16 billion a year earlier but down 0.6% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International's Non-Current Assets came in at $2.35 billion, up 14.9% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's Non-Current Assets was $2.05 billion in FY2024 (-3.7%), $2.13 billion in FY2023 (+0.4%), $2.12 billion in FY2022 (+2.9%) and $2.06 billion in FY2021 (+17.1%).
- Quarterly Non-Current Assets has run from a low of $1.96 billion in Q3 2021 to a high of $2.35 billion in Q4 2025 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last five quarters, with growth averaging 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 17.1%; the weakest was Q4 2024, with a decline of 3.7%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $2.34 billion (Q1 2026), $2.35 billion (Q4 2025) and $2.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 2.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.32 Bn |
| Mar 31, 2026 | 2.34 Bn |
| Dec 31, 2025 | 2.35 Bn |
| Sep 30, 2025 | 2.24 Bn |
| Jun 30, 2025 | 2.16 Bn |
| Mar 31, 2025 | 2.07 Bn |
| Dec 31, 2024 | 2.05 Bn |
| Sep 30, 2024 | 2.12 Bn |
| Jun 30, 2024 | 2.07 Bn |
| Mar 31, 2024 | 2.07 Bn |
| Dec 31, 2023 | 2.13 Bn |
| Sep 30, 2023 | 2.09 Bn |
| Jun 30, 2023 | 2.12 Bn |
| Mar 31, 2023 | 2.12 Bn |
| Dec 31, 2022 | 2.12 Bn |
| Sep 30, 2022 | 1.98 Bn |
| Jun 30, 2022 | 2.01 Bn |
| Mar 31, 2022 | 2.05 Bn |
| Dec 31, 2021 | 2.06 Bn |
| Sep 30, 2021 | 1.96 Bn |
API Access
Mettler Toledo International 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=non-current-assets&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();