Open Text (OTEX) Research & Development (2009 - 2026)
Open Text (OTEX) posted Research & Development of $149.1 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 20.3% from $187.18 million a year earlier and down 12.9% from the prior quarter.
Powered by 
Analysis
Open Text (OTEX) Research & Development (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Research & Development came in at $647.71 million, down 14.3% from FY2025.
- Annual Research & Development shows a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- In prior fiscal years, Open Text's Research & Development was $755.94 million in FY2025 (-12.6%), $864.46 million in FY2024 (+31.1%), $659.21 million in FY2023 (+49.7%) and $440.45 million in FY2022 (+4.5%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Research & Development since fiscal Q2 2023.
- On a year-over-year basis, Research & Development has declined in each of the last nine quarters, with an average decline of 13.4% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q1 2024, with growth of 105.3%; the weakest was fiscal Q4 2026, with a decline of 20.3%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $171.17 million (Q3 2026), $158.31 million (Q2 2026) and $169.13 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 1.29 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 759.82 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 273.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 464.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 242.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 167.33 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 188.10 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 200.30 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 82.80 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 149.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.10 Mn |
| Mar 31, 2026 | 171.17 Mn |
| Dec 31, 2025 | 158.31 Mn |
| Sep 30, 2025 | 169.13 Mn |
| Jun 30, 2025 | 187.18 Mn |
| Mar 31, 2025 | 197.33 Mn |
| Dec 31, 2024 | 180.73 Mn |
| Sep 30, 2024 | 190.69 Mn |
| Jun 30, 2024 | 198.86 Mn |
| Mar 31, 2024 | 226.52 Mn |
| Dec 31, 2023 | 212.86 Mn |
| Sep 30, 2023 | 226.23 Mn |
| Jun 30, 2023 | 228.59 Mn |
| Mar 31, 2023 | 210.73 Mn |
| Dec 31, 2022 | 109.70 Mn |
| Sep 30, 2022 | 110.20 Mn |
| Jun 30, 2022 | 118.93 Mn |
| Mar 31, 2022 | 117.73 Mn |
| Dec 31, 2021 | 103.62 Mn |
| Sep 30, 2021 | 100.17 Mn |
API Access
Open Text Research & Development 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=research-and-development&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();