Materialise (MTLS) Operating Interest Expenses (2020 - 2025)
Materialise (MTLS) posted Operating Interest Expenses of $680.39 for the quarter ended Sep 30, 2025, down 66.4% from $2,024 a year earlier and down 85.1% from the prior quarter.
Materialise (MTLS) Operating Interest Expenses (2020 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Interest Expenses at Materialise was $10,192, down 96.5% year-over-year; for the year ended Dec 31, 2023, it was $4.18 million, down 7.3% from the prior year.
- Annual Operating Interest Expenses shows a three-year compound annual growth rate of 748.4% (years ended Dec 2020 to Dec 2023).
- In prior years, Materialise's Operating Interest Expenses was $4.51 million in the year ended Dec 31, 2022, $4,853 in the year ended Dec 31, 2021 (-29.1%) and $6,846 in the year ended Dec 31, 2020.
- The figure for the quarter ended Sep 30, 2025 stands as the lowest quarterly Operating Interest Expenses in data going back to the quarter ended Mar 31, 2020.
- On a year-over-year basis, Operating Interest Expenses increased in four of the last seven quarters, with growth averaging 51.8%.
- The strongest year-over-year quarter for Operating Interest Expenses in the past five years was the quarter ended Mar 31, 2025, with growth of 236.3%; the weakest was the quarter ended Dec 31, 2023, with a decline of 93.3%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (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
| Date | Value |
|---|---|
| Sep 30, 2025 | 680.39 |
| Jun 30, 2025 | 4,571.99 |
| Mar 31, 2025 | 2,915.82 |
| Sep 30, 2024 | 2,024.02 |
| Jun 30, 2024 | 1,551.79 |
| Mar 31, 2024 | 866.92 |
| Dec 31, 2023 | 286,200.02 |
| Sep 30, 2023 | 1,691.67 |
| Jun 30, 2023 | 729.58 |
| Mar 31, 2023 | 1,475.85 |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 2,127.46 |
| Jun 30, 2022 | 1,408.51 |
| Mar 31, 2022 | 1,446.69 |
| Dec 31, 2021 | 1,051.31 |
| Mar 31, 2021 | 5,670.52 |
| Dec 31, 2020 | 1,279.33 |
| Mar 31, 2020 | 2,009.17 |
Materialise 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=operating-interest-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-interest-expenses&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();