Materialise (MTLS) Exchange Rate Effect (2014 - 2026)
Materialise (MTLS) posted Exchange Rate Effect of $206,900 for the quarter ended Jun 30, 2026, compared with -$753,885 a year earlier and down 46.3% from the prior quarter.
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Analysis
Materialise (MTLS) Exchange Rate Effect (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Materialise was $462,857; for the year ended Dec 31, 2025, it was -$1.16 million.
- In prior years, Materialise's Exchange Rate Effect was -$532,510 in the year ended Dec 31, 2024, -$49,759 in the year ended Dec 31, 2023, -$1.1 million in the year ended Dec 31, 2022 and $738,440 in the year ended Dec 31, 2021.
- Quarterly Exchange Rate Effect has run from a low of -$1.79 million in the quarter ended Jun 30, 2022 to a high of $1.38 million in the quarter ended Dec 31, 2022 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was $385,175 (quarter ended Mar 31, 2026), -$126,881 (quarter ended Dec 31, 2025) and -$2,338 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -518,000.00 |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn | 206,900.41 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 206,900.41 |
| Mar 31, 2026 | 385,175.32 |
| Dec 31, 2025 | -126,880.74 |
| Sep 30, 2025 | -2,338.11 |
| Jun 30, 2025 | -753,885.15 |
| Mar 31, 2025 | -259,815.46 |
| Dec 31, 2024 | 26,714.89 |
| Sep 30, 2024 | -174,616.90 |
| Jun 30, 2024 | -361,834.23 |
| Mar 31, 2024 | -23,899.96 |
| Dec 31, 2023 | -181,833.84 |
| Sep 30, 2023 | 71,846.97 |
| Jun 30, 2023 | 63,157.61 |
| Mar 31, 2023 | -1,073.34 |
| Dec 31, 2022 | 1.38 Mn |
| Sep 30, 2022 | -1.52 Mn |
| Jun 30, 2022 | -1.79 Mn |
| Mar 31, 2022 | 833,896.92 |
| Dec 31, 2021 | 181,891.38 |
| Sep 30, 2021 | -165,100.23 |
API Access
Materialise Exchange Rate Effect 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=exchange-rate-effect&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();