Materialise (MTLS) Other Non-Current Liabilities (2013 - 2026)
Materialise's Other Non-Current Liabilities was $484,705 in the quarter ended Jun 30, 2026, up 31.3% from $369,019 a year earlier and up 29.0% from the prior quarter.
Materialise (MTLS) Other Non-Current Liabilities (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Non-Current Liabilities at Materialise came in at $549,088, down 99.6% from the prior year.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 3.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Non-Current Liabilities was $136.88 million in the year ended Dec 31, 2024, $1.89 million in the year ended Dec 31, 2023 (+14.8%), $1.64 million in the year ended Dec 31, 2022 (-35.9%) and $2.56 million in the year ended Dec 31, 2021 (+464.3%).
- Quarterly Other Non-Current Liabilities has moved between $369,019 (the quarter ended Jun 30, 2025) and $135.14 million (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in 1 of the last seven quarters, with an average decline of 43.1%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was the quarter ended Jun 30, 2022 (growth of 532.0%); the worst was the quarter ended Dec 31, 2025 (a decline of 99.6%).
- Per Business Quant data, MTLS's Other Non-Current Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $375,809 (quarter ended Mar 31, 2026), $565,725 (quarter ended Dec 31, 2025) and $492,172 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn |
| 10 | Materialise | 516.84 Mn | 516.74 Mn | 46.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 484,704.89 |
| Mar 31, 2026 | 375,809.35 |
| Dec 31, 2025 | 565,725.15 |
| Sep 30, 2025 | 492,172.19 |
| Jun 30, 2025 | 369,018.86 |
| Mar 31, 2025 | 875,167.85 |
| Dec 31, 2024 | 135.14 Mn |
| Sep 30, 2024 | 765,458.99 |
| Jun 30, 2024 | 1.02 Mn |
| Mar 31, 2024 | 1.37 Mn |
| Dec 31, 2023 | 1.88 Mn |
| Sep 30, 2023 | 1.29 Mn |
| Jun 30, 2023 | 1.10 Mn |
| Mar 31, 2023 | 540,964.28 |
| Dec 31, 2022 | 1.64 Mn |
| Sep 30, 2022 | 1.04 Mn |
| Jun 30, 2022 | 3.03 Mn |
| Mar 31, 2022 | 3.01 Mn |
| Dec 31, 2021 | 2.48 Mn |
| Sep 30, 2021 | 2.54 Mn |
Materialise Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();