OneSpan (OSPN) Total Non-Current Liabilities (2010 - 2026)
OneSpan's Total Non-Current Liabilities came in at $109.61 million for Q2 2026, down 0.1% from $109.69 million a year earlier but up 2.3% from the prior quarter.
OneSpan (OSPN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, OneSpan's Total Non-Current Liabilities was $124.24 million, unchanged from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $124.28 million in FY2024 (-2.0%), $126.87 million in FY2023 (-1.8%), $129.21 million in FY2022 (+12.6%) and $114.72 million in FY2021 (+6.8%).
- The five-year range for quarterly Total Non-Current Liabilities is $91.91 million (Q3 2024) to $129.21 million (Q4 2022).
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2022 (growth of 12.6%), and the weakest in Q3 2024 (a decline of 10.3%).
- Business Quant data shows OSPN's Total Non-Current Liabilities at $107.18 million (Q1 2026), $124.24 million (Q4 2025) and $100.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 12.63 Bn |
| 10 | OneSpan | 655.47 Mn | 406.33 Mn | 44.48 Mn | 109.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.61 Mn |
| Mar 31, 2026 | 107.18 Mn |
| Dec 31, 2025 | 124.24 Mn |
| Sep 30, 2025 | 100.31 Mn |
| Jun 30, 2025 | 109.69 Mn |
| Mar 31, 2025 | 100.65 Mn |
| Dec 31, 2024 | 124.28 Mn |
| Sep 30, 2024 | 91.91 Mn |
| Jun 30, 2024 | 105.07 Mn |
| Mar 31, 2024 | 103.10 Mn |
| Dec 31, 2023 | 126.87 Mn |
| Sep 30, 2023 | 102.41 Mn |
| Jun 30, 2023 | 109.00 Mn |
| Mar 31, 2023 | 114.54 Mn |
| Dec 31, 2022 | 129.21 Mn |
| Sep 30, 2022 | 97.61 Mn |
| Jun 30, 2022 | 100.29 Mn |
| Mar 31, 2022 | 104.76 Mn |
| Dec 31, 2021 | 114.72 Mn |
| Sep 30, 2021 | 100.61 Mn |
OneSpan Total Non-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-non-current-liabilities&ticker=OSPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=OSPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();