Materialise (MTLS) Payables (2012 - 2026)
Materialise's Payables came in at $22.53 million for the quarter ended Jun 30, 2026, down 0.9% from $22.74 million a year earlier and down 2.7% from the prior quarter.
Materialise (MTLS) Payables (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Materialise's Payables was $22.74 million, down 1.9% from the prior year.
- Payables carries a five-year compound annual growth rate of 2.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Payables was $23.19 million in the year ended Dec 31, 2024 (+11.2%), $20.84 million in the year ended Dec 31, 2023 (-12.0%), $23.7 million in the year ended Dec 31, 2022 (-0.7%) and $23.87 million in the year ended Dec 31, 2021 (+18.1%).
- The five-year range for quarterly Payables is $20.73 million (the quarter ended Dec 31, 2023) to $28.15 million (the quarter ended Jun 30, 2022).
- Year-over-year, Payables increased in five of the last eight quarters, with growth averaging 0.8%.
- The fastest year-over-year change in Payables over five years came in the quarter ended Sep 30, 2021 (growth of 44.3%), and the weakest in the quarter ended Mar 31, 2024 (a decline of 16.0%).
- Business Quant data shows MTLS's Payables at $23.16 million (quarter ended Mar 31, 2026), $23.43 million (quarter ended Dec 31, 2025) and $22.05 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | 18.69 Bn |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | 3.14 Bn |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | 2.24 Bn |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | 834.40 Mn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | 5.31 Bn |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | 1.79 Bn |
| 10 | Materialise | 478.74 Mn | -138.58 Mn | 46.23 Mn | 22.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.14 Mn |
| Mar 31, 2026 | 22.67 Mn |
| Dec 31, 2025 | 23.64 Mn |
| Sep 30, 2025 | 22.12 Mn |
| Jun 30, 2025 | 23.56 Mn |
| Mar 31, 2025 | 23.06 Mn |
| Dec 31, 2024 | 22.29 Mn |
| Sep 30, 2024 | 23.71 Mn |
| Jun 30, 2024 | 25.45 Mn |
| Mar 31, 2024 | 21.31 Mn |
| Dec 31, 2023 | 23.46 Mn |
| Sep 30, 2023 | 21.97 Mn |
| Jun 30, 2023 | 24.77 Mn |
| Mar 31, 2023 | 25.93 Mn |
| Dec 31, 2022 | 24.76 Mn |
| Sep 30, 2022 | 24.61 Mn |
| Jun 30, 2022 | 27.56 Mn |
| Mar 31, 2022 | 22.55 Mn |
| Dec 31, 2021 | 22.84 Mn |
| Sep 30, 2021 | 25.94 Mn |
Materialise Payables 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=payables&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();