Materialise (MTLS) Interest Expenses (2013 - 2026)
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Analysis
Materialise (MTLS) Interest Expenses (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 1.43 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 15.38 Mn |
| 10 | Materialise | 398.11 Mn | -238.44 Mn | 44.91 Mn | -1.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.30 Mn |
| Jun 30, 2026 | -1.01 Mn |
| Mar 31, 2026 | -819,521.96 |
| Dec 31, 2025 | 2.07 Mn |
| Sep 30, 2025 | -680,390.06 |
| Jun 30, 2025 | -4.57 Mn |
| Mar 31, 2025 | -2.92 Mn |
| Dec 31, 2024 | 1.19 Mn |
| Sep 30, 2024 | -2.02 Mn |
| Jun 30, 2024 | -1.55 Mn |
| Mar 31, 2024 | -866,916.69 |
| Dec 31, 2023 | -286,200.02 |
| Sep 30, 2023 | -1.69 Mn |
| Jun 30, 2023 | -729,579.34 |
| Mar 31, 2023 | -1.48 Mn |
| Dec 31, 2022 | -4.30 Mn |
| Sep 30, 2022 | -2.13 Mn |
| Jun 30, 2022 | -1.41 Mn |
| Mar 31, 2022 | -1.45 Mn |
| Dec 31, 2021 | -1.05 Mn |
API Access
Materialise Interest 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=interest-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();