OneSpan (OSPN) Operating Expenses (2010 - 2026)
OneSpan's Operating Expenses came in at $35.74 million for Q2 2026, up 6.8% from $33.46 million a year earlier and up 6.1% from the prior quarter.
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Analysis
OneSpan (OSPN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, OneSpan reported Operating Expenses of $136.98 million, up 7.7% year-over-year; for FY2025, it came in at $130.91 million, up 0.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $129.77 million in FY2024 (-30.4%), $186.59 million in FY2023 (+6.2%), $175.69 million in FY2022 (+3.9%) and $169.06 million in FY2021 (+10.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2023.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with an average decline of 3.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 19.0%), and the weakest in Q2 2024 (a decline of 37.2%).
- Business Quant data shows OSPN's Operating Expenses at $33.7 million (Q1 2026), $33.76 million (Q4 2025) and $33.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | OneSpan | 657.68 Mn | 408.54 Mn | 44.48 Mn | 35.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.74 Mn |
| Mar 31, 2026 | 33.70 Mn |
| Dec 31, 2025 | 33.76 Mn |
| Sep 30, 2025 | 33.78 Mn |
| Jun 30, 2025 | 33.46 Mn |
| Mar 31, 2025 | 29.91 Mn |
| Dec 31, 2024 | 33.49 Mn |
| Sep 30, 2024 | 30.30 Mn |
| Jun 30, 2024 | 32.70 Mn |
| Mar 31, 2024 | 33.29 Mn |
| Dec 31, 2023 | 41.65 Mn |
| Sep 30, 2023 | 45.46 Mn |
| Jun 30, 2023 | 52.06 Mn |
| Mar 31, 2023 | 47.42 Mn |
| Dec 31, 2022 | 41.96 Mn |
| Sep 30, 2022 | 44.06 Mn |
| Jun 30, 2022 | 43.74 Mn |
| Mar 31, 2022 | 45.92 Mn |
| Dec 31, 2021 | 43.43 Mn |
| Sep 30, 2021 | 38.41 Mn |
API Access
OneSpan Operating Expenses 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=operating-expenses&ticker=OSPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OSPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();