Clear Secure (YOU) Amortizatization of Intangibles (2021 - 2026)
Clear Secure's Amortizatization of Intangibles came in at $114,000 for Q2 2026, down 89.2% from $1.06 million a year earlier but up 1.8% from the prior quarter.
Clear Secure (YOU) Amortizatization of Intangibles (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Clear Secure reported Amortizatization of Intangibles of $8.77 million, up 72.5% year-over-year; for FY2025, it was $10.7 million, up 126.2% from FY2024.
- Amortizatization of Intangibles has increased in each of the last three years, with a three-year compound annual growth rate of 48.5% (FY2022 to FY2025).
- Going back by year, Amortizatization of Intangibles was $4.73 million in FY2024 (+37.8%), $3.43 million in FY2023 (+5.1%) and $3.27 million in FY2022.
- The five-year range for quarterly Amortizatization of Intangibles is -$11,000 (Q4 2021) to $7.51 million (Q4 2025).
- Year-over-year, Amortizatization of Intangibles increased in five of the last eight quarters, with growth averaging 42.4%.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q4 2025 (growth of 376.6%), and the weakest in Q1 2026 (a decline of 89.8%).
- Business Quant data shows YOU's Amortizatization of Intangibles at $112,000 (Q1 2026), $7.51 million (Q4 2025) and $1.04 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 13.30 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | - |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | - |
| 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 | - |
| 10 | Clear Secure | 5.60 Bn | 2.64 Bn | - | 114,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114,000.00 |
| Mar 31, 2026 | 112,000.00 |
| Dec 31, 2025 | 7.51 Mn |
| Sep 30, 2025 | 1.04 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 1.58 Mn |
| Sep 30, 2024 | 1.35 Mn |
| Jun 30, 2024 | 881,000.00 |
| Mar 31, 2024 | 924,000.00 |
| Dec 31, 2023 | 951,000.00 |
| Sep 30, 2023 | 843,000.00 |
| Jun 30, 2023 | 819,000.00 |
| Mar 31, 2023 | 822,000.00 |
| Dec 31, 2022 | 818,000.00 |
| Sep 30, 2022 | 816,000.00 |
| Jun 30, 2022 | 739,000.00 |
| Mar 31, 2022 | 895,000.00 |
| Dec 31, 2021 | -11,000.00 |
| Sep 30, 2021 | 7,000.00 |
Clear Secure Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=YOU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "YOU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=YOU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();