Mettler Toledo International (MTD) Current Assets (2009 - 2026)
Mettler Toledo International (MTD) posted Current Assets of $1.35 billion for Q2 2026, up 8.3% from $1.24 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International's Current Assets came in at $1.36 billion, up 14.1% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's Current Assets was $1.19 billion in FY2024 (-3.0%), $1.23 billion in FY2023 (-10.5%), $1.38 billion in FY2022 (+8.3%) and $1.27 billion in FY2021 (+20.1%).
- Quarterly Current Assets has run from a low of $1.16 billion in Q1 2025 to a high of $1.38 billion in Q4 2022 over five years.
- On a year-over-year basis, Current Assets has increased in each of the last five quarters, with growth averaging 5.3% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q1 2022, with growth of 21.3%; the weakest was Q4 2023, with a decline of 10.5%.
- According to Business Quant data, Current Assets for the three prior quarters was $1.33 billion (Q1 2026), $1.36 billion (Q4 2025) and $1.28 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.80 Bn | 243.49 Bn | 7.76 Bn | 54.45 Bn |
| 2 | Amphenol | 195.24 Bn | 190.08 Bn | 4.02 Bn | 19.48 Bn |
| 3 | Deere | 182.36 Bn | 191.12 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.06 Bn | 134.04 Bn | 3.11 Bn | 16.03 Bn |
| 5 | Parker-Hannifin | 114.61 Bn | 112.74 Bn | 2.25 Bn | 7.70 Bn |
| 6 | 3M | 100.26 Bn | 82.67 Bn | 2.78 Bn | 16.71 Bn |
| 7 | Emerson Electric | 94.99 Bn | 87.75 Bn | 2.66 Bn | 9.66 Bn |
| 8 | Illinois Tool Works | 83.42 Bn | 80.09 Bn | 1.91 Bn | 6.60 Bn |
| 9 | Vertiv Holdings | 79.14 Bn | 67.99 Bn | 1.64 Bn | 12.12 Bn |
| 10 | Mettler Toledo International | 37.39 Bn | 37.14 Bn | 650.22 Mn | 1.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.33 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Sep 30, 2025 | 1.28 Bn |
| Jun 30, 2025 | 1.24 Bn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.20 Bn |
| Jun 30, 2024 | 1.18 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.23 Bn |
| Sep 30, 2023 | 1.20 Bn |
| Jun 30, 2023 | 1.25 Bn |
| Mar 31, 2023 | 1.29 Bn |
| Dec 31, 2022 | 1.38 Bn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.32 Bn |
| Mar 31, 2022 | 1.31 Bn |
| Dec 31, 2021 | 1.27 Bn |
| Sep 30, 2021 | 1.25 Bn |
API Access
Mettler Toledo International 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=current-assets&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();