Mettler Toledo International (MTD) Inventory (2009 - 2026)
Mettler Toledo International (MTD) posted Inventory of $411.56 million for Q2 2026, up 6.1% from $388.08 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International's Inventory came in at $387.23 million, up 13.1% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, Mettler Toledo International's Inventory was $342.27 million in FY2024 (-11.3%), $385.87 million in FY2023 (-12.6%), $441.69 million in FY2022 (+6.5%) and $414.54 million in FY2021 (+39.3%).
- The Q2 2026 figure stands as the highest quarterly Inventory since Q1 2023.
- On a year-over-year basis, Inventory has increased in each of the last five quarters, with growth averaging 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2021, with growth of 39.3%; the weakest was Q3 2023, with a decline of 16.7%.
- According to Business Quant data, Inventory for the three prior quarters was $404.83 million (Q1 2026), $387.23 million (Q4 2025) and $401.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 411.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 411.56 Mn |
| Mar 31, 2026 | 404.83 Mn |
| Dec 31, 2025 | 387.23 Mn |
| Sep 30, 2025 | 401.81 Mn |
| Jun 30, 2025 | 388.08 Mn |
| Mar 31, 2025 | 358.79 Mn |
| Dec 31, 2024 | 342.27 Mn |
| Sep 30, 2024 | 375.81 Mn |
| Jun 30, 2024 | 366.40 Mn |
| Mar 31, 2024 | 373.67 Mn |
| Dec 31, 2023 | 385.87 Mn |
| Sep 30, 2023 | 375.96 Mn |
| Jun 30, 2023 | 394.96 Mn |
| Mar 31, 2023 | 427.55 Mn |
| Dec 31, 2022 | 441.69 Mn |
| Sep 30, 2022 | 451.32 Mn |
| Jun 30, 2022 | 463.32 Mn |
| Mar 31, 2022 | 446.49 Mn |
| Dec 31, 2021 | 414.54 Mn |
| Sep 30, 2021 | 381.46 Mn |
API Access
Mettler Toledo International Inventory 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=inventory&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();