Materialise (MTLS) Total Debt (2012 - 2026)
Materialise (MTLS) recorded Total Debt of $67.15 million in the quarter ended Sep 30, 2026, up 14.4% from $58.69 million a year earlier and up 25.8% from the prior quarter.
Materialise (MTLS) Total Debt (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise reported Total Debt of $74.14 million, up 72.6% from the prior year.
- Annual Total Debt has a five-year compound annual growth rate of -12.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Debt came in at $42.96 million in the year ended Dec 31, 2024 (-39.7%), $71.28 million in the year ended Dec 31, 2023 (-17.4%), $86.33 million in the year ended Dec 31, 2022 (-23.1%) and $112.24 million in the year ended Dec 31, 2021 (-20.7%).
- Quarterly Total Debt has ranged from $21.05 million in the quarter ended Mar 31, 2025 to $112.24 million in the quarter ended Dec 31, 2021 over the past five years.
- On a year-over-year basis, Total Debt has increased for six consecutive quarters, with growth averaging 45.3% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 156.9% in the quarter ended Mar 31, 2026, against a decline of 45.5% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $53.39 million (quarter ended Jun 30, 2026), $54.08 million (quarter ended Mar 31, 2026) and $74.14 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 125.34 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 9.68 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 39.29 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 4.97 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 7.52 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 7.67 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 3.11 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 6.72 Bn |
| 10 | Materialise | 398.11 Mn | -238.44 Mn | 44.91 Mn | 67.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67.15 Mn |
| Jun 30, 2026 | 53.39 Mn |
| Mar 31, 2026 | 54.08 Mn |
| Dec 31, 2025 | 74.14 Mn |
| Sep 30, 2025 | 58.69 Mn |
| Jun 30, 2025 | 45.02 Mn |
| Mar 31, 2025 | 21.05 Mn |
| Dec 31, 2024 | 42.96 Mn |
| Sep 30, 2024 | 26.67 Mn |
| Jun 30, 2024 | 29.53 Mn |
| Mar 31, 2024 | 31.41 Mn |
| Dec 31, 2023 | 71.28 Mn |
| Sep 30, 2023 | 47.75 Mn |
| Jun 30, 2023 | 54.15 Mn |
| Mar 31, 2023 | 55.65 Mn |
| Dec 31, 2022 | 86.33 Mn |
| Sep 30, 2022 | 57.14 Mn |
| Jun 30, 2022 | 66.65 Mn |
| Mar 31, 2022 | 74.52 Mn |
| Dec 31, 2021 | 112.24 Mn |
Materialise Total 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=total-debt&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();