Mettler Toledo International (MTD) Prepaid Assets (2010 - 2026)
Mettler Toledo International's Prepaid Assets came in at $152.96 million for Q2 2026, up 35.4% from $112.96 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International's Prepaid Assets was $130.31 million, up 23.9% from FY2024.
- Prepaid Assets carries a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Going back by year, Prepaid Assets was $105.16 million in FY2024 (-5.0%), $110.64 million in FY2023 (-13.6%), $128.11 million in FY2022 (+17.6%) and $108.92 million in FY2021 (+52.9%).
- The five-year range for quarterly Prepaid Assets is $77.73 million (Q3 2021) to $158.31 million (Q1 2026).
- Year-over-year, Prepaid Assets has increased for five consecutive quarters, with growth averaging 13.5% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in Q3 2022 (growth of 68.6%), and the weakest in Q4 2023 (a decline of 13.6%).
- Business Quant data shows MTD's Prepaid Assets at $158.31 million (Q1 2026), $130.31 million (Q4 2025) and $123.07 million (Q3 2025) in the three quarters before Q2 2026.
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 | 152.96 Mn |
| Mar 31, 2026 | 158.31 Mn |
| Dec 31, 2025 | 130.31 Mn |
| Sep 30, 2025 | 123.07 Mn |
| Jun 30, 2025 | 112.96 Mn |
| Mar 31, 2025 | 103.33 Mn |
| Dec 31, 2024 | 105.16 Mn |
| Sep 30, 2024 | 113.64 Mn |
| Jun 30, 2024 | 106.39 Mn |
| Mar 31, 2024 | 116.92 Mn |
| Dec 31, 2023 | 110.64 Mn |
| Sep 30, 2023 | 116.31 Mn |
| Jun 30, 2023 | 119.97 Mn |
| Mar 31, 2023 | 130.08 Mn |
| Dec 31, 2022 | 128.11 Mn |
| Sep 30, 2022 | 131.05 Mn |
| Jun 30, 2022 | 125.34 Mn |
| Mar 31, 2022 | 128.57 Mn |
| Dec 31, 2021 | 108.92 Mn |
| Sep 30, 2021 | 77.73 Mn |
API Access
Mettler Toledo International Prepaid 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=prepaid-assets&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();