Materialise (MTLS) Inventory (2012 - 2026)
Materialise (MTLS) posted Inventory of $19.58 million for the quarter ended Jun 30, 2026, up 17.9% from $16.61 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Materialise (MTLS) Inventory (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise's Inventory came in at $16.84 million, down 8.4% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 8.0% (years ended Dec 2020 to Dec 2025).
- In prior years, Materialise's Inventory was $18.39 million in the year ended Dec 31, 2024 (-0.2%), $18.43 million in the year ended Dec 31, 2023 (+12.3%), $16.41 million in the year ended Dec 31, 2022 (+22.7%) and $13.37 million in the year ended Dec 31, 2021 (+16.6%).
- Quarterly Inventory has run from a low of $12.92 million in the quarter ended Dec 31, 2021 to a high of $19.61 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Inventory increased in three of the last seven quarters, with growth averaging 2.9%.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Dec 31, 2022, with growth of 27.0%; the weakest was the quarter ended Mar 31, 2025, with a decline of 8.1%.
- According to Business Quant data, Inventory for the three prior quarters was $19.61 million (quarter ended Mar 31, 2026), $17.35 million (quarter ended Dec 31, 2025) and $18.33 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | - |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | - |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | - |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | - |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | - |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | - |
| 10 | Materialise | 478.74 Mn | -138.58 Mn | 46.23 Mn | 19.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.24 Mn |
| Mar 31, 2026 | 19.20 Mn |
| Dec 31, 2025 | 17.51 Mn |
| Sep 30, 2025 | 18.39 Mn |
| Jun 30, 2025 | 17.21 Mn |
| Mar 31, 2025 | 17.48 Mn |
| Dec 31, 2024 | 17.68 Mn |
| Sep 30, 2024 | 19.44 Mn |
| Jun 30, 2024 | 19.11 Mn |
| Mar 31, 2024 | 18.36 Mn |
| Dec 31, 2023 | 18.85 Mn |
| Sep 30, 2023 | 17.71 Mn |
| Jun 30, 2023 | 17.40 Mn |
| Mar 31, 2023 | 17.24 Mn |
| Dec 31, 2022 | 17.14 Mn |
| Sep 30, 2022 | 15.27 Mn |
| Jun 30, 2022 | 14.72 Mn |
| Mar 31, 2022 | 14.20 Mn |
| Dec 31, 2021 | 12.79 Mn |
| Sep 30, 2021 | 13.70 Mn |
API Access
Materialise Inventory 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=inventory&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();