Mettler Toledo International (MTD) Depreciation and Depletion (2009 - 2026)
Mettler Toledo International (MTD) recorded Depreciation and Depletion of $13.3 million in Q2 2026, up 3.3% from $12.87 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a TTM basis, Mettler Toledo International's Depreciation and Depletion came in at $52.27 million as of Jun 30, 2026, up 2.9% year-over-year; for FY2025, it was $51.14 million, up 1.6% from FY2024.
- Annual Depreciation and Depletion has increased for nine straight years, with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $50.35 million in FY2024 (+2.9%), $48.95 million in FY2023 (+4.6%), $46.78 million in FY2022 (+4.0%) and $44.98 million in FY2021 (+7.0%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q3 2009.
- On a year-over-year basis, Depreciation and Depletion has increased for three consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 8.6% in Q1 2022, against a decline of 0.9% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.16 million (Q1 2026), $13.09 million (Q4 2025) and $12.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 257.00 Bn | 228.30 Bn | 7.35 Bn | - |
| 2 | Amphenol | 182.22 Bn | 176.92 Bn | 4.02 Bn | - |
| 3 | Deere | 182.06 Bn | 150.16 Bn | 4.66 Bn | - |
| 4 | Eaton | 133.05 Bn | 129.98 Bn | 3.11 Bn | 140.00 Mn |
| 5 | Parker-Hannifin | 115.78 Bn | 113.66 Bn | 2.26 Bn | 97.00 Mn |
| 6 | 3M | 96.89 Bn | 78.33 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 90.59 Bn | 83.32 Bn | 2.66 Bn | 96.00 Mn |
| 8 | Illinois Tool Works | 80.14 Bn | 76.81 Bn | 1.91 Bn | 84.00 Mn |
| 9 | Vertiv Holdings | 70.78 Bn | 59.63 Bn | 1.64 Bn | 39.80 Mn |
| 10 | Mettler Toledo International | 35.17 Bn | 34.93 Bn | 650.22 Mn | 13.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.30 Mn |
| Mar 31, 2026 | 13.16 Mn |
| Dec 31, 2025 | 13.09 Mn |
| Sep 30, 2025 | 12.72 Mn |
| Jun 30, 2025 | 12.87 Mn |
| Mar 31, 2025 | 12.46 Mn |
| Dec 31, 2024 | 12.64 Mn |
| Sep 30, 2024 | 12.84 Mn |
| Jun 30, 2024 | 12.35 Mn |
| Mar 31, 2024 | 12.52 Mn |
| Dec 31, 2023 | 12.55 Mn |
| Sep 30, 2023 | 12.19 Mn |
| Jun 30, 2023 | 12.19 Mn |
| Mar 31, 2023 | 12.02 Mn |
| Dec 31, 2022 | 11.78 Mn |
| Sep 30, 2022 | 11.67 Mn |
| Jun 30, 2022 | 11.45 Mn |
| Mar 31, 2022 | 11.88 Mn |
| Dec 31, 2021 | 11.54 Mn |
| Sep 30, 2021 | 11.18 Mn |
API Access
Mettler Toledo International Depreciation and Depletion 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=depreciation-and-depletion&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();