Materialise (MTLS) Short term Debt (2015 - 2025)
Materialise (MTLS) reported Short term Debt of $9.03 million for the quarter ended Dec 31, 2025, down 18.6% from $11.1 million a year earlier.
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Analysis
Materialise (MTLS) Short term Debt (2015 - 2025) Analysis & Trends
As of Dec 31, 2025, Materialise posted Short term Debt of $8.77 million, down 22.0% from the prior year.
- Short term Debt has a five-year compound annual growth rate of -11.3% (years ended Dec 2020 to Dec 2025).
- By year, Short term Debt came in at $11.24 million in the year ended Dec 31, 2024 (-54.6%), $24.74 million in the year ended Dec 31, 2023 (+42.2%), $17.4 million in the year ended Dec 31, 2022 (-17.6%) and $21.12 million in the year ended Dec 31, 2021 (+32.3%).
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Short term Debt since the quarter ended Dec 31, 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.03 Mn |
| Dec 31, 2024 | 11.10 Mn |
| Dec 31, 2023 | 24.61 Mn |
| Dec 31, 2022 | 17.40 Mn |
| Dec 31, 2021 | 20.42 Mn |
| Dec 31, 2020 | 16.67 Mn |
| Dec 31, 2019 | 14.82 Mn |
| Dec 31, 2018 | 15.52 Mn |
| Dec 31, 2017 | 15.03 Mn |
| Dec 31, 2016 | 5.98 Mn |
| Dec 31, 2015 | 4.91 Mn |
API Access
Materialise Short term Debt 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=short-term-debt&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "MTLS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();