Open Text (OTEX) Exchange Rate Effect (2009 - 2026)
Open Text (OTEX) posted quarterly Exchange Rate Effect of -$5.8 million for Q1 2026, down 139.82% year-over-year from $14.7 million in Q1 2025, and down 627.02% quarter-over-quarter from -$803000.0 in Q4 2025.
Open Text (OTEX) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Open Text's Exchange Rate Effect history runs 18 years deep, the most recent figure standing at -$5.8 million for Q1 2026.
- In Q1 2026, Exchange Rate Effect fell 139.82% year-over-year to -$5.8 million; the TTM figure through Mar 2026 stood at $25.7 million (up 852.01% YoY), while the FY2025 annual figure was $32.9 million, up 368.14% from the prior year.
- Exchange Rate Effect for Q1 2026 stood at -$5.8 million, down from -$803000.0 in the prior quarter.
- The five-year high for Exchange Rate Effect was $28.0 million in Q2 2025, with the low at -$28.9 million in Q4 2024.
- The 5-year median for Exchange Rate Effect is -$803000.0 (2025), against an average of -$705647.1.
- The sharpest annual moves came in 2022 and 2025: Exchange Rate Effect tumbled 465.91% in 2022, then jumped 438.32% in 2025.
- Open Text's Exchange Rate Effect stood at $27.8 million in 2022, then tumbled by 45.95% to $15.0 million in 2023, then tumbled by 292.33% to -$28.9 million in 2024, then soared by 97.22% to -$803000.0 in 2025, then sank by 627.02% to -$5.8 million in 2026.
- Business Quant data shows OTEX's Exchange Rate Effect at -$5.8 million in Q1 2026, -$803000.0 in Q4 2025, and $4.3 million in Q3 2025.
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Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Sap Se | 255.48 Bn | 234.41 Bn | 16.51 Bn | 104.61 Mn |
| 2 | Shopify | 198.95 Bn | 194.00 Bn | 1.71 Bn | -4.00 Mn |
| 3 | Salesforce | 160.70 Bn | 148.86 Bn | 8.56 Bn | 11.00 Mn |
| 4 | Uber Technologies | 154.94 Bn | 149.73 Bn | 6.38 Bn | 54.00 Mn |
| 5 | ServiceNow | 128.25 Bn | 123.58 Bn | 2.82 Bn | - |
| 6 | Snowflake | 114.00 Bn | 111.05 Bn | 926.45 Mn | -2.82 Mn |
| 7 | Automatic Data Processing | 108.58 Bn | 104.35 Bn | 2.51 Bn | -24.10 Mn |
| 8 | Adobe | 105.34 Bn | 99.72 Bn | 5.90 Bn | -9.00 Mn |
| 9 | Intuit | 94.55 Bn | 87.77 Bn | 7.24 Bn | 3.00 Mn |
| 10 | Open Text | 5.94 Bn | 4.99 Bn | 1.01 Bn | -3.37 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Jun 30, 2026 | -3.37 Mn |
| Jun 30, 2026 | -3.37 Mn |
| Mar 31, 2026 | -5.84 Mn |
| Mar 31, 2026 | -5.84 Mn |
| Dec 31, 2025 | -803,000.00 |
| Dec 31, 2025 | -803,000.00 |
| Sep 30, 2025 | 4.31 Mn |
| Sep 30, 2025 | 4.31 Mn |
| Jun 30, 2025 | 28.02 Mn |
| Jun 30, 2025 | 28.02 Mn |
| Mar 31, 2025 | 14.66 Mn |
| Mar 31, 2025 | 14.66 Mn |
| Dec 31, 2024 | -28.93 Mn |
| Dec 31, 2024 | -28.93 Mn |
| Sep 30, 2024 | 19.14 Mn |
| Sep 30, 2024 | 19.14 Mn |
| Jun 30, 2024 | -8.28 Mn |
| Jun 30, 2024 | -8.28 Mn |
| Mar 31, 2024 | -7.52 Mn |
| Mar 31, 2024 | -7.52 Mn |