Open Text (OTEX) Shares Outstanding (2009 - 2026)
Open Text's Shares Outstanding was 249.03 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.4% from 263.27 million a year earlier but up 0.5% from the prior quarter.
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Analysis
Open Text (OTEX) Shares Outstanding (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Open Text has reported Shares Outstanding for 70 quarters.
- Shares Outstanding shows a five-year compound annual growth rate of -1.8% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 263.27 million in FY2025 (-3.0%), 271.55 million in FY2024 (+0.5%), 270.3 million in FY2023 (-0.4%) and 271.27 million in FY2022 (-0.5%).
- Quarterly Shares Outstanding has moved between 247.84 million (fiscal Q3 2026) and 272.27 million (fiscal Q3 2024) over five years.
- Compared with a year earlier, Shares Outstanding has declined for eight straight quarters, with an average decline of 3.9% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q3 2024 (growth of 0.7%); the worst was fiscal Q3 2026 (a decline of 5.7%).
- Per Business Quant data, OTEX's Shares Outstanding in the three fiscal quarters before Q4 2026 was 247.84 million (Q3 2026), 251.98 million (Q2 2026) and 253.65 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 395.00 Mn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 260.16 Mn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 210.00 Mn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 152.79 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 292.88 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 527.46 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 224.80 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 62.33 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 84.05 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 249.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 249.03 Mn |
| Mar 31, 2026 | 247.84 Mn |
| Dec 31, 2025 | 251.98 Mn |
| Sep 30, 2025 | 253.65 Mn |
| Jun 30, 2025 | 263.27 Mn |
| Mar 31, 2025 | 262.84 Mn |
| Dec 31, 2024 | 265.10 Mn |
| Sep 30, 2024 | 267.40 Mn |
| Jun 30, 2024 | 271.55 Mn |
| Mar 31, 2024 | 272.27 Mn |
| Dec 31, 2023 | 271.57 Mn |
| Sep 30, 2023 | 271.18 Mn |
| Jun 30, 2023 | 270.30 Mn |
| Mar 31, 2023 | 270.44 Mn |
| Dec 31, 2022 | 270.19 Mn |
| Sep 30, 2022 | 269.80 Mn |
| Jun 30, 2022 | 271.27 Mn |
| Mar 31, 2022 | 270.69 Mn |
| Dec 31, 2021 | 272.11 Mn |
| Sep 30, 2021 | 272.04 Mn |
API Access
Open Text Shares Outstanding 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=shares-outstanding&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();