OneSpan (OSPN) Total Liabilities (2010 - 2026)
OneSpan's Total Liabilities was $113.54 million in Q2 2026, down 0.9% from $114.59 million a year earlier but up 2.2% from the prior quarter.
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Analysis
OneSpan (OSPN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at OneSpan came in at $125.86 million, down 0.3% from FY2024.
- Total Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $126.2 million in FY2024 (-3.0%), $130.05 million in FY2023 (-1.3%), $131.77 million in FY2022 (+7.6%) and $122.49 million in FY2021 (+3.9%).
- Quarterly Total Liabilities has moved between $94.69 million (Q3 2024) and $131.77 million (Q4 2022) over five years.
- Compared with a year earlier, Total Liabilities was higher in three of the last eight quarters, with growth averaging 0.9%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2025 (growth of 11.1%); the worst was Q3 2024 (a decline of 10.1%).
- Per Business Quant data, OSPN's Total Liabilities in the three quarters before Q2 2026 was $111.13 million (Q1 2026), $125.86 million (Q4 2025) and $105.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | OneSpan | 657.68 Mn | 408.54 Mn | 44.48 Mn | 113.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 113.54 Mn |
| Mar 31, 2026 | 111.13 Mn |
| Dec 31, 2025 | 125.86 Mn |
| Sep 30, 2025 | 105.20 Mn |
| Jun 30, 2025 | 114.59 Mn |
| Mar 31, 2025 | 102.69 Mn |
| Dec 31, 2024 | 126.20 Mn |
| Sep 30, 2024 | 94.69 Mn |
| Jun 30, 2024 | 108.28 Mn |
| Mar 31, 2024 | 106.27 Mn |
| Dec 31, 2023 | 130.05 Mn |
| Sep 30, 2023 | 105.38 Mn |
| Jun 30, 2023 | 112.05 Mn |
| Mar 31, 2023 | 117.98 Mn |
| Dec 31, 2022 | 131.77 Mn |
| Sep 30, 2022 | 104.61 Mn |
| Jun 30, 2022 | 107.57 Mn |
| Mar 31, 2022 | 112.32 Mn |
| Dec 31, 2021 | 122.49 Mn |
| Sep 30, 2021 | 110.73 Mn |
API Access
OneSpan Total 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-liabilities&ticker=OSPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OSPN", "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-liabilities&ticker=OSPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();