OneSpan (OSPN) Cost of Revenue (2010 - 2026)
OneSpan's Cost of Revenue was $15.98 million in Q2 2026, up 0.7% from $15.88 million a year earlier but down 8.3% from the prior quarter.
OneSpan (OSPN) Cost of Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, OneSpan's Cost of Revenue was $65.09 million through Jun 30, 2026, up 3.8% year-over-year; for FY2025, it was $63.83 million, down 7.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $68.6 million in FY2024 (-11.4%), $77.39 million in FY2023 (+9.9%), $70.44 million in FY2022 (-1.6%) and $71.55 million in FY2021 (+5.8%).
- Quarterly Cost of Revenue has moved between $14.69 million (Q3 2024) and $21.69 million (Q4 2021) over five years.
- Compared with a year earlier, Cost of Revenue has increased for four straight quarters, with an average decline of 6.5% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q2 2023 (growth of 24.0%); the worst was Q2 2025 (a decline of 22.9%).
- Per Business Quant data, OSPN's Cost of Revenue in the three quarters before Q2 2026 was $17.43 million (Q1 2026), $16.62 million (Q4 2025) and $15.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | OneSpan | 666.51 Mn | 417.36 Mn | 44.48 Mn | 15.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.98 Mn |
| Mar 31, 2026 | 17.43 Mn |
| Dec 31, 2025 | 16.62 Mn |
| Sep 30, 2025 | 15.05 Mn |
| Jun 30, 2025 | 15.88 Mn |
| Mar 31, 2025 | 16.28 Mn |
| Dec 31, 2024 | 15.88 Mn |
| Sep 30, 2024 | 14.69 Mn |
| Jun 30, 2024 | 20.58 Mn |
| Mar 31, 2024 | 17.45 Mn |
| Dec 31, 2023 | 19.46 Mn |
| Sep 30, 2023 | 18.17 Mn |
| Jun 30, 2023 | 21.44 Mn |
| Mar 31, 2023 | 18.32 Mn |
| Dec 31, 2022 | 18.67 Mn |
| Sep 30, 2022 | 18.72 Mn |
| Jun 30, 2022 | 17.28 Mn |
| Mar 31, 2022 | 15.77 Mn |
| Dec 31, 2021 | 21.69 Mn |
| Sep 30, 2021 | 15.88 Mn |
OneSpan Cost of Revenue 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=cost-of-revenue&ticker=OSPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OSPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();