OneSpan (OSPN) Depreciation and Depletion (2017 - 2026)
OneSpan's Depreciation and Depletion came in at $2.3 million for Q2 2026, up 27.8% from $1.8 million a year earlier and up 4.5% from the prior quarter.
OneSpan (OSPN) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, OneSpan reported Depreciation and Depletion of $8.4 million, up 29.2% year-over-year; for FY2025, it was $7.3 million, up 25.9% from FY2024.
- Depreciation and Depletion has increased in each of the last three years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $5.8 million in FY2024 (+56.8%), $3.7 million in FY2023 (+27.6%), $2.9 million in FY2022 (-3.3%) and $3 million in FY2021 (+3.4%).
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to Q1 2017.
- Year-over-year, Depreciation and Depletion has increased for 13 consecutive quarters, with growth averaging 30.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q1 2024 (growth of 100.0%), and the weakest in Q4 2021 (a decline of 12.5%).
- Business Quant data shows OSPN's Depreciation and Depletion at $2.2 million (Q1 2026), $2.1 million (Q4 2025) and $1.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | - |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | - |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 993,000.00 |
| 10 | OneSpan | 666.51 Mn | 417.36 Mn | 44.48 Mn | 2.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Mar 31, 2026 | 2.20 Mn |
| Dec 31, 2025 | 2.10 Mn |
| Sep 30, 2025 | 1.80 Mn |
| Jun 30, 2025 | 1.80 Mn |
| Mar 31, 2025 | 1.60 Mn |
| Dec 31, 2024 | 1.70 Mn |
| Sep 30, 2024 | 1.40 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 1.40 Mn |
| Dec 31, 2023 | 1.20 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 800,000.00 |
| Mar 31, 2023 | 700,000.00 |
| Dec 31, 2022 | 800,000.00 |
| Sep 30, 2022 | 700,000.00 |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | 700,000.00 |
| Dec 31, 2021 | 700,000.00 |
| Sep 30, 2021 | 800,000.00 |
OneSpan Depreciation and Depletion 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=depreciation-and-depletion&ticker=OSPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=OSPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();