Mettler Toledo International (MTD) Accumulated Expenses (2009 - 2026)
Mettler Toledo International's Accumulated Expenses came in at $285.52 million for Q2 2026, up 51.1% from $188.98 million a year earlier and up 21.8% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International's Accumulated Expenses was $237.48 million, up 26.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $187.7 million in FY2024 (-4.3%), $196.14 million in FY2023 (-4.4%), $205.25 million in FY2022 (-1.7%) and $208.81 million in FY2021 (+6.1%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2026 (growth of 51.1%), and the weakest in Q3 2023 (a decline of 14.4%).
- Business Quant data shows MTD's Accumulated Expenses at $234.47 million (Q1 2026), $237.48 million (Q4 2025) and $194.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 271.80 Bn | 243.49 Bn | 7.76 Bn |
| 2 | Amphenol | 195.24 Bn | 190.08 Bn | 4.02 Bn |
| 3 | Deere | 182.36 Bn | 191.12 Bn | 4.66 Bn |
| 4 | Eaton | 137.06 Bn | 134.04 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 114.61 Bn | 112.74 Bn | 2.25 Bn |
| 6 | 3M | 100.26 Bn | 82.67 Bn | 2.78 Bn |
| 7 | Emerson Electric | 94.99 Bn | 87.75 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 83.42 Bn | 80.09 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 79.14 Bn | 67.99 Bn | 1.64 Bn |
| 10 | Mettler Toledo International | 37.39 Bn | 37.14 Bn | 650.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.52 Mn |
| Mar 31, 2026 | 234.47 Mn |
| Dec 31, 2025 | 237.48 Mn |
| Sep 30, 2025 | 194.93 Mn |
| Jun 30, 2025 | 188.98 Mn |
| Mar 31, 2025 | 182.09 Mn |
| Dec 31, 2024 | 187.70 Mn |
| Sep 30, 2024 | 190.36 Mn |
| Jun 30, 2024 | 180.88 Mn |
| Mar 31, 2024 | 190.02 Mn |
| Dec 31, 2023 | 196.14 Mn |
| Sep 30, 2023 | 172.87 Mn |
| Jun 30, 2023 | 177.59 Mn |
| Mar 31, 2023 | 189.32 Mn |
| Dec 31, 2022 | 205.25 Mn |
| Sep 30, 2022 | 202.04 Mn |
| Jun 30, 2022 | 203.32 Mn |
| Mar 31, 2022 | 214.56 Mn |
| Dec 31, 2021 | 208.81 Mn |
| Sep 30, 2021 | 196.52 Mn |
API Access
Mettler Toledo International Accumulated Expenses 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=accumulated-expenses&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();