Materialise (MTLS) Total Debt (2012 - 2026)
Materialise (MTLS) recorded Total Debt of $54.33 million in the quarter ended Jun 30, 2026, up 25.0% from $43.45 million a year earlier but down 1.7% from the prior quarter.
Materialise (MTLS) Total Debt (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise reported Total Debt of $64.95 million, up 89.7% from the prior year.
- Annual Total Debt has a five-year compound annual growth rate of -11.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Debt came in at $34.24 million in the year ended Dec 31, 2024 (-42.0%), $58.98 million in the year ended Dec 31, 2023 (-20.7%), $74.41 million in the year ended Dec 31, 2022 (-30.5%) and $107.08 million in the year ended Dec 31, 2021 (-10.2%).
- Quarterly Total Debt has ranged from $20.46 million in the quarter ended Mar 31, 2025 to $103.51 million in the quarter ended Dec 31, 2021 over the past five years.
- On a year-over-year basis, Total Debt has increased for five consecutive quarters, with growth averaging 42.3% over the last eight quarters.
- Peak year-over-year performance for Total Debt in the last five years was growth of 170.0% in the quarter ended Mar 31, 2026, against a decline of 46.7% in the quarter ended Sep 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.25 million (quarter ended Mar 31, 2026), $66.92 million (quarter ended Dec 31, 2025) and $58.49 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | - |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | 125.34 Bn |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | 9.76 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 39.29 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | 7.52 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | 4.96 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | 7.67 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | 3.11 Bn |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | 3.26 Bn |
| 10 | Materialise | 478.74 Mn | -138.58 Mn | 46.23 Mn | 53.39 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 87.89 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();