Mettler Toledo International (MTD) Intangibles (2009 - 2026)
Mettler Toledo International (MTD) reported Intangibles of $266.26 million for Q2 2026, up 5.0% from $253.53 million a year earlier but down 2.7% from the prior quarter.
Powered by 
Analysis
Mettler Toledo International (MTD) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Mettler Toledo International posted Intangibles of $278.91 million, up 8.5% from FY2024.
- Intangibles has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Intangibles came in at $257.14 million in FY2024 (-9.9%), $285.43 million in FY2023 (-6.7%), $306.05 million in FY2022 (-0.5%) and $307.45 million in FY2021 (+56.2%).
- Five-year quarterly Intangibles spans a low of $251.8 million in Q1 2025 and a high of $307.45 million in Q4 2021.
- Year over year, Intangibles has now increased in each of the last four quarters, with an average decline of 0.5% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q4 2021 (growth of 56.2%); the low point was Q4 2024 (a decline of 9.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $273.77 million (Q1 2026), $278.91 million (Q4 2025) and $278.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 266.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.26 Mn |
| Mar 31, 2026 | 273.77 Mn |
| Dec 31, 2025 | 278.91 Mn |
| Sep 30, 2025 | 278.35 Mn |
| Jun 30, 2025 | 253.53 Mn |
| Mar 31, 2025 | 251.80 Mn |
| Dec 31, 2024 | 257.14 Mn |
| Sep 30, 2024 | 262.52 Mn |
| Jun 30, 2024 | 268.15 Mn |
| Mar 31, 2024 | 274.38 Mn |
| Dec 31, 2023 | 285.43 Mn |
| Sep 30, 2023 | 287.20 Mn |
| Jun 30, 2023 | 294.59 Mn |
| Mar 31, 2023 | 300.13 Mn |
| Dec 31, 2022 | 306.05 Mn |
| Sep 30, 2022 | 297.44 Mn |
| Jun 30, 2022 | 298.36 Mn |
| Mar 31, 2022 | 305.08 Mn |
| Dec 31, 2021 | 307.45 Mn |
| Sep 30, 2021 | 288.59 Mn |
API Access
Mettler Toledo International Intangibles 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=intangibles&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();