Mettler Toledo International (MTD) Receivables (2009 - 2026)
Mettler Toledo International's Receivables was $731.48 million in Q2 2026, up 7.3% from $681.6 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Mettler Toledo International (MTD) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Mettler Toledo International came in at $810.54 million, up 12.6% from FY2024.
- Receivables shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In earlier years, Receivables was $719.71 million in FY2024 (+2.9%), $699.59 million in FY2023 (-5.3%), $738.52 million in FY2022 (+8.7%) and $679.44 million in FY2021 (+10.2%).
- Quarterly Receivables has moved between $603.36 million (Q3 2021) and $810.54 million (Q4 2025) over five years.
- Compared with a year earlier, Receivables has increased for five straight quarters, with growth averaging 5.9% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2021 (growth of 15.6%); the worst was Q4 2023 (a decline of 5.3%).
- Per Business Quant data, MTD's Receivables in the three quarters before Q2 2026 was $751.11 million (Q1 2026), $810.54 million (Q4 2025) and $687.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 367.91 Bn | 339.61 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 215.11 Bn | 209.81 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 167.41 Bn | 176.17 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 166.85 Bn | 164.08 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 121.33 Bn | 119.46 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 93.43 Bn | 84.05 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 90.26 Bn | 83.02 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 82.47 Bn | 63.93 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 75.21 Bn | 71.77 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Mettler Toledo International | 33.63 Bn | 33.39 Bn | 650.22 Mn | 731.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 731.48 Mn |
| Mar 31, 2026 | 751.11 Mn |
| Dec 31, 2025 | 810.54 Mn |
| Sep 30, 2025 | 687.26 Mn |
| Jun 30, 2025 | 681.60 Mn |
| Mar 31, 2025 | 672.99 Mn |
| Dec 31, 2024 | 719.71 Mn |
| Sep 30, 2024 | 637.20 Mn |
| Jun 30, 2024 | 634.71 Mn |
| Mar 31, 2024 | 690.43 Mn |
| Dec 31, 2023 | 699.59 Mn |
| Sep 30, 2023 | 634.97 Mn |
| Jun 30, 2023 | 648.00 Mn |
| Mar 31, 2023 | 674.45 Mn |
| Dec 31, 2022 | 738.52 Mn |
| Sep 30, 2022 | 611.40 Mn |
| Jun 30, 2022 | 626.59 Mn |
| Mar 31, 2022 | 651.78 Mn |
| Dec 31, 2021 | 679.44 Mn |
| Sep 30, 2021 | 603.36 Mn |
API Access
Mettler Toledo International Receivables 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=receivables&ticker=MTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();