Open Text (OTEX) Receivables (2009 - 2026)
Open Text's Receivables was $828.49 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 12.3% from $737.6 million a year earlier and up 20.5% from the prior quarter.
Open Text (OTEX) Receivables (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Open Text has reported Receivables for 70 quarters.
- Receivables shows a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $737.6 million in FY2025 (+6.5%), $692.64 million in FY2024 (-8.1%), $753.71 million in FY2023 (+58.8%) and $474.55 million in FY2022 (-3.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Receivables since fiscal Q2 2024.
- Compared with a year earlier, Receivables has increased for five straight quarters, with an average decline of 1.0% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q1 2024 (growth of 76.0%); the worst was fiscal Q2 2025 (a decline of 16.1%).
- Per Business Quant data, OTEX's Receivables in the three fiscal quarters before Q4 2026 was $687.63 million (Q3 2026), $739.58 million (Q2 2026) and $671.93 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.15 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.27 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 760.07 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 684.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 621.36 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 190.88 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 76.30 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 836.59 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 493.49 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 828.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 828.49 Mn |
| Mar 31, 2026 | 687.63 Mn |
| Dec 31, 2025 | 739.58 Mn |
| Sep 30, 2025 | 671.93 Mn |
| Jun 30, 2025 | 737.60 Mn |
| Mar 31, 2025 | 663.95 Mn |
| Dec 31, 2024 | 708.10 Mn |
| Sep 30, 2024 | 662.82 Mn |
| Jun 30, 2024 | 692.64 Mn |
| Mar 31, 2024 | 722.69 Mn |
| Dec 31, 2023 | 843.55 Mn |
| Sep 30, 2023 | 755.16 Mn |
| Jun 30, 2023 | 753.71 Mn |
| Mar 31, 2023 | 748.48 Mn |
| Dec 31, 2022 | 532.19 Mn |
| Sep 30, 2022 | 429.14 Mn |
| Jun 30, 2022 | 452.82 Mn |
| Mar 31, 2022 | 482.28 Mn |
| Dec 31, 2021 | 489.32 Mn |
| Sep 30, 2021 | 419.37 Mn |
Open Text Receivables 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=receivables&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();