Open Text (OTEX) Cost of Revenue (2009 - 2026)
Open Text (OTEX) posted Cost of Revenue of $337.55 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 7.0% from $362.84 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Open Text (OTEX) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Cost of Revenue came in at $1.38 billion, down 3.9% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- In prior fiscal years, Open Text's Cost of Revenue was $1.43 billion in FY2025 (-9.1%), $1.58 billion in FY2024 (+19.9%), $1.32 billion in FY2023 (+23.9%) and $1.06 billion in FY2022 (+2.7%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Cost of Revenue since fiscal Q2 2023.
- On a year-over-year basis, Cost of Revenue has declined in each of the last nine quarters, with an average decline of 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q4 2023, with growth of 58.9%; the weakest was fiscal Q4 2024, with a decline of 12.3%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $345.23 million (Q3 2026), $344.54 million (Q2 2026) and $350.62 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 763.00 Mn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 238.45 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 773.22 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 176.00 Mn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 291.72 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | 60.47 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 125.00 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 439.04 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 184.70 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 337.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 337.55 Mn |
| Mar 31, 2026 | 345.23 Mn |
| Dec 31, 2025 | 344.54 Mn |
| Sep 30, 2025 | 350.62 Mn |
| Jun 30, 2025 | 362.84 Mn |
| Mar 31, 2025 | 356.11 Mn |
| Dec 31, 2024 | 356.52 Mn |
| Sep 30, 2024 | 358.65 Mn |
| Jun 30, 2024 | 374.43 Mn |
| Mar 31, 2024 | 391.36 Mn |
| Dec 31, 2023 | 405.75 Mn |
| Sep 30, 2023 | 407.01 Mn |
| Jun 30, 2023 | 426.82 Mn |
| Mar 31, 2023 | 369.73 Mn |
| Dec 31, 2022 | 261.69 Mn |
| Sep 30, 2022 | 258.35 Mn |
| Jun 30, 2022 | 268.66 Mn |
| Mar 31, 2022 | 274.24 Mn |
| Dec 31, 2021 | 261.18 Mn |
| Sep 30, 2021 | 258.12 Mn |
API Access
Open Text Cost of Revenue 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=cost-of-revenue&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();