Materialise (MTLS) Cost of Revenue (2013 - 2026)
Materialise (MTLS) posted Cost of Revenue of $35.22 million for the quarter ended Jun 30, 2026, up 15.0% from $30.62 million a year earlier and up 6.0% from the prior quarter.
Materialise (MTLS) Cost of Revenue (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Materialise was $136.08 million, up 8.5% year-over-year; for the year ended Dec 31, 2025, it was $129.57 million, up 3.3% from the prior year.
- Annual Cost of Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 40.7% (years ended Dec 2020 to Dec 2025).
- In prior years, Materialise's Cost of Revenue was $125.49 million in the year ended Dec 31, 2024 (+4.5%), $120.07 million in the year ended Dec 31, 2023 (+316.6%), $28.82 million in the year ended Dec 31, 2022 (-71.1%) and $99.86 million in the year ended Dec 31, 2021 (+325.2%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Cost of Revenue in data going back to the quarter ended Jun 30, 2013.
- On a year-over-year basis, Cost of Revenue has increased in each of the last four quarters, with growth averaging 6.4% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was the quarter ended Sep 30, 2021, with growth of 19.7%; the weakest was the quarter ended Jun 30, 2025, with a decline of 3.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $33.23 million (quarter ended Mar 31, 2026), $34.19 million (quarter ended Dec 31, 2025) and $33.44 million (quarter ended Sep 30, 2025).
Peer Comparison
Materialise Cost of Revenue 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=cost-of-revenue&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();