Open Text (OTEX) Prepaid Assets (2009 - 2026)
Open Text (OTEX) posted Prepaid Assets of $208.93 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 5.4% from $198.19 million a year earlier but down 11.3% from the prior quarter.
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Analysis
Open Text (OTEX) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Open Text's Prepaid Assets came in at $235.64 million, up 18.7% from FY2025.
- 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%).
- Quarterly Prepaid Assets has run from a low of $118.35 million in fiscal Q2 2022 to a high of $250.66 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last three quarters, with an average decline of 2.0% over the last eight quarters.
- 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 Q4 2025, with a decline of 18.3%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $235.64 million (Q4 2026), $215.22 million (Q3 2026) and $186.38 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 208.93 Mn |
| 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 |
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();