Materialise (MTLS) Change in Other Operating Liabilities (2021 - 2026)
Materialise (MTLS) recorded Change in Other Operating Liabilities of -$132,299 in the quarter ended Sep 30, 2026, compared with -$126,258 a year earlier.
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Analysis
Materialise (MTLS) Change in Other Operating Liabilities (2021 - 2026) Analysis & Trends
On a TTM basis, Materialise's Change in Other Operating Liabilities came in at -$538,148 as of Sep 30, 2026; for the year ended Dec 31, 2025, it came in at -$360,410.
- Across earlier years, Change in Other Operating Liabilities came in at -$61,693 in the year ended Dec 31, 2024, $567,902 in the year ended Dec 31, 2023 (-94.7%), $10.81 million in the year ended Dec 31, 2022 (+215.1%) and $3.43 million in the year ended Dec 31, 2021.
- Quarterly Change in Other Operating Liabilities has ranged from -$1.93 million in the quarter ended Jun 30, 2023 to $10.46 million in the quarter ended Dec 31, 2022 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$277,887 (quarter ended Jun 30, 2026), $83.12 (quarter ended Mar 31, 2026) and -$128,045 (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 130.62 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 15.36 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | -1.86 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | -1.72 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -2.20 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | -463.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | -14.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -19.40 Mn |
| 10 | Materialise | 398.11 Mn | -238.44 Mn | 44.91 Mn | -132,298.97 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -132,298.97 |
| Jun 30, 2026 | -277,887.01 |
| Mar 31, 2026 | 83.12 |
| Dec 31, 2025 | -128,044.79 |
| Sep 30, 2025 | -126,257.95 |
| Jun 30, 2025 | -116,442.43 |
| Mar 31, 2025 | 1,964.92 |
| Dec 31, 2024 | -56,332.08 |
| Sep 30, 2024 | 1.94 Mn |
| Jun 30, 2024 | -1.90 Mn |
| Mar 31, 2024 | 698.53 |
| Dec 31, 2023 | 569,744.61 |
| Sep 30, 2023 | 1.92 Mn |
| Jun 30, 2023 | -1.93 Mn |
| Mar 31, 2023 | 1,468.33 |
| Dec 31, 2022 | 10.46 Mn |
| Sep 30, 2022 | 158.30 |
| Jun 30, 2022 | -7.47 |
| Mar 31, 2022 | 4,113.37 |
| Dec 31, 2021 | 3.32 Mn |
API Access
Materialise Change in Other Operating Liabilities 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=change-in-other-operating-liabilities&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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=change-in-other-operating-liabilities&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();