Materialise (MTLS) Non Operating Interest Expenses (2013 - 2026)
Materialise (MTLS) posted Non Operating Interest Expenses of -$1.3 million for the quarter ended Sep 30, 2026, compared with -$680,390 a year earlier.
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Analysis
Materialise (MTLS) Non Operating Interest Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Non Operating Interest Expenses at Materialise was -$1.06 million; for the year ended Dec 31, 2025, it came in at $6.35 million, up 97.5% from the prior year.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -1.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Materialise's Non Operating Interest Expenses was $3.21 million in the year ended Dec 31, 2024 (-23.1%), $4.18 million in the year ended Dec 31, 2023 (-10.3%), $4.66 million in the year ended Dec 31, 2022 (-4.0%) and $4.85 million in the year ended Dec 31, 2021 (-29.1%).
- The figure for the quarter ended Sep 30, 2026 stands as the lowest quarterly Non Operating Interest Expenses since the quarter ended Jun 30, 2025.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was -$1.01 million (quarter ended Jun 30, 2026), -$819,522 (quarter ended Mar 31, 2026) and $2.07 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();