Open Text (OTEX) Prepaid Assets (2009 - 2026)
Open Text (OTEX) posted Prepaid Assets of $235.64 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 18.7% from $198.58 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Open Text (OTEX) Prepaid Assets (2009 - 2026) Analysis & Trends
Since fiscal Q3 2009, Open Text has reported Prepaid Assets for 69 quarters.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- In prior fiscal years, Open Text's Prepaid Assets was $198.58 million in FY2025 (-18.3%), $242.91 million in FY2024 (+9.6%), $221.73 million in FY2023 (+83.9%) and $120.55 million in FY2022 (+22.3%).
- The fiscal Q4 2026 figure stands as the highest quarterly Prepaid Assets since fiscal Q4 2024.
- On a year-over-year basis, Prepaid Assets increased in three of the last eight quarters, with an average decline of 1.4%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q3 2023, with growth of 104.4%; the weakest was fiscal Q1 2022, with a decline of 23.5%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $215.22 million (Q3 2026), $186.38 million (Q2 2026) and $198.19 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235.64 Mn |
| Mar 31, 2026 | 215.22 Mn |
| Dec 31, 2025 | 186.38 Mn |
| Sep 30, 2025 | 198.19 Mn |
| Jun 30, 2025 | 198.58 Mn |
| Mar 31, 2025 | 200.97 Mn |
| Dec 31, 2024 | 186.76 Mn |
| Sep 30, 2024 | 220.43 Mn |
| Jun 30, 2024 | 242.91 Mn |
| Mar 31, 2024 | 212.26 Mn |
| Dec 31, 2023 | 215.40 Mn |
| Sep 30, 2023 | 199.92 Mn |
| Jun 30, 2023 | 221.73 Mn |
| Mar 31, 2023 | 250.66 Mn |
| Dec 31, 2022 | 131.17 Mn |
| Sep 30, 2022 | 124.87 Mn |
| Jun 30, 2022 | 120.55 Mn |
| Mar 31, 2022 | 122.62 Mn |
| Dec 31, 2021 | 118.35 Mn |
| Sep 30, 2021 | 107.49 Mn |
API Access
Open Text Prepaid Assets 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=prepaid-assets&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "OTEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();