Materialise (MTLS) Operating Leases (2019 - 2026)
Materialise (MTLS) posted Operating Leases of $4.1 million for the quarter ended Jun 30, 2026, down 22.0% from $5.25 million a year earlier but up 6.1% from the prior quarter.
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Analysis
Materialise (MTLS) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise's Operating Leases came in at $3.46 million, down 37.5% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of -15.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Materialise's Operating Leases was $5.53 million in the year ended Dec 31, 2024 (-4.1%), $5.77 million in the year ended Dec 31, 2023 (+9.9%), $5.25 million in the year ended Dec 31, 2022 (-15.8%) and $6.23 million in the year ended Dec 31, 2021 (-22.9%).
- Quarterly Operating Leases has run from a low of $3.57 million in the quarter ended Dec 31, 2025 to a high of $6.42 million in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last seven quarters, with an average decline of 17.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Mar 31, 2024, with growth of 15.0%; the weakest was the quarter ended Dec 31, 2025, with a decline of 34.7%.
- According to Business Quant data, Operating Leases for the three prior quarters was $3.86 million (quarter ended Mar 31, 2026), $3.57 million (quarter ended Dec 31, 2025) and $4.12 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 478.70 Bn | 447.65 Bn | 1.64 Bn |
| 2 | Oracle | 386.97 Bn | 259.11 Bn | - |
| 3 | Sap Se | 273.48 Bn | 201.26 Bn | 8.40 Bn |
| 4 | Salesforce | 199.13 Bn | 155.00 Bn | 8.70 Bn |
| 5 | ServiceNow | 157.36 Bn | 135.82 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 118.71 Bn | 100.84 Bn | 2.51 Bn |
| 7 | Intuit | 92.46 Bn | 71.81 Bn | 3.44 Bn |
| 8 | Relx | 73.23 Bn | 72.32 Bn | - |
| 9 | Strategy | 54.12 Bn | 47.11 Bn | 81.55 Mn |
| 10 | Materialise | 494.98 Mn | -122.33 Mn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.03 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 4.13 Mn |
| Jun 30, 2025 | 5.44 Mn |
| Mar 31, 2025 | 5.38 Mn |
| Dec 31, 2024 | 5.32 Mn |
| Sep 30, 2024 | 6.04 Mn |
| Jun 30, 2024 | 5.98 Mn |
| Mar 31, 2024 | 6.09 Mn |
| Dec 31, 2023 | 5.90 Mn |
| Sep 30, 2023 | 5.34 Mn |
| Jun 30, 2023 | 5.57 Mn |
| Mar 31, 2023 | 5.41 Mn |
| Dec 31, 2022 | 5.49 Mn |
| Sep 30, 2022 | 4.92 Mn |
| Jun 30, 2022 | 5.58 Mn |
| Mar 31, 2022 | 6.33 Mn |
| Dec 31, 2021 | 5.97 Mn |
| Sep 30, 2021 | 6.32 Mn |
API Access
Materialise Operating Leases 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-leases&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();