Materialise (MTLS) Selling, General & Administrative (2013 - 2026)
Materialise's Selling, General & Administrative came in at -$11.9 million for the quarter ended Jun 30, 2026, compared with -$11.03 million a year earlier.
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Analysis
Materialise (MTLS) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Materialise reported Selling, General & Administrative of -$46.62 million; for the year ended Dec 31, 2025, it was -$45.33 million.
- Going back by year, Selling, General & Administrative was -$42.86 million in the year ended Dec 31, 2024, -$40.1 million in the year ended Dec 31, 2023, -$9.65 million in the year ended Dec 31, 2022 and -$36.92 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Selling, General & Administrative is -$12.36 million (the quarter ended Dec 31, 2025) to -$8.75 million (the quarter ended Sep 30, 2022).
- Business Quant data shows MTLS's Selling, General & Administrative at -$10.99 million (quarter ended Mar 31, 2026), -$12.36 million (quarter ended Dec 31, 2025) and -$11.38 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 376.00 Mn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Materialise | 505.62 Mn | 505.52 Mn | 46.23 Mn | -11.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -11.90 Mn |
| Mar 31, 2026 | -10.99 Mn |
| Dec 31, 2025 | -12.36 Mn |
| Sep 30, 2025 | -11.38 Mn |
| Jun 30, 2025 | -11.03 Mn |
| Mar 31, 2025 | -10.55 Mn |
| Dec 31, 2024 | -11.12 Mn |
| Sep 30, 2024 | -10.96 Mn |
| Jun 30, 2024 | -10.67 Mn |
| Mar 31, 2024 | -10.11 Mn |
| Dec 31, 2023 | -10.60 Mn |
| Sep 30, 2023 | -9.41 Mn |
| Jun 30, 2023 | -10.38 Mn |
| Mar 31, 2023 | -9.72 Mn |
| Dec 31, 2022 | -9.65 Mn |
| Sep 30, 2022 | -8.75 Mn |
| Jun 30, 2022 | -10.08 Mn |
| Mar 31, 2022 | -9.37 Mn |
| Dec 31, 2021 | -10.38 Mn |
| Sep 30, 2021 | -9.13 Mn |
API Access
Materialise Selling, General & Administrative 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=selling-general-and-administrative&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();