Open Text (OTEX) Total Current Liabilities (2009 - 2026)
Open Text's Total Current Liabilities was $2.62 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.5% from $2.75 billion a year earlier but up 3.5% from the prior quarter.
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Analysis
Open Text (OTEX) Total Current Liabilities (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Open Text has reported Total Current Liabilities for 69 quarters.
- Total Current Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $2.75 billion in FY2025 (-1.9%), $2.8 billion in FY2024 (-13.0%), $3.22 billion in FY2023 (+119.3%) and $1.47 billion in FY2022 (+7.8%).
- Quarterly Total Current Liabilities has moved between $1.2 billion (fiscal Q1 2022) and $3.48 billion (fiscal Q3 2023) over five years.
- Compared with a year earlier, Total Current Liabilities was higher in two of the last eight quarters, with an average decline of 6.1%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2023 (growth of 145.7%); the worst was fiscal Q1 2022 (a decline of 32.9%).
- Per Business Quant data, OTEX's Total Current Liabilities in the three fiscal quarters before Q4 2026 was $2.53 billion (Q3 2026), $2.5 billion (Q2 2026) and $2.46 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 11.89 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 3.57 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 810.69 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 6.63 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.12 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 806.68 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 1.18 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 1.10 Bn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 662.66 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 2.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Bn |
| Mar 31, 2026 | 2.53 Bn |
| Dec 31, 2025 | 2.50 Bn |
| Sep 30, 2025 | 2.46 Bn |
| Jun 30, 2025 | 2.75 Bn |
| Mar 31, 2025 | 2.52 Bn |
| Dec 31, 2024 | 2.40 Bn |
| Sep 30, 2024 | 2.50 Bn |
| Jun 30, 2024 | 2.80 Bn |
| Mar 31, 2024 | 2.99 Bn |
| Dec 31, 2023 | 2.96 Bn |
| Sep 30, 2023 | 2.82 Bn |
| Jun 30, 2023 | 3.22 Bn |
| Mar 31, 2023 | 3.48 Bn |
| Dec 31, 2022 | 1.49 Bn |
| Sep 30, 2022 | 1.58 Bn |
| Jun 30, 2022 | 1.47 Bn |
| Mar 31, 2022 | 1.42 Bn |
| Dec 31, 2021 | 1.30 Bn |
| Sep 30, 2021 | 1.20 Bn |
API Access
Open Text Total Current Liabilities 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=total-current-liabilities&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();