Clear Secure (YOU) Cash & Equivalents (2020 - 2026)
Clear Secure (YOU) posted Cash & Equivalents of $128.23 million for Q2 2026, up 43.6% from $89.31 million a year earlier but down 24.9% from the prior quarter.
Clear Secure (YOU) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Clear Secure's Cash & Equivalents came in at $85.73 million, up 28.2% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, though with a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In prior years, Clear Secure's Cash & Equivalents was $66.89 million in FY2024 (+15.5%), $57.9 million in FY2023 (+48.7%), $38.94 million in FY2022 (-86.1%) and $280.11 million in FY2021 (+141.0%).
- Quarterly Cash & Equivalents has run from a low of $32.89 million in Q3 2024 to a high of $339.74 million in Q2 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last seven quarters, with growth averaging 53.7% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 358.9%; the weakest was Q1 2023, with a decline of 86.9%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $170.68 million (Q1 2026), $85.73 million (Q4 2025) and $75.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Clear Secure | 5.60 Bn | 2.64 Bn | - | 128.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.23 Mn |
| Mar 31, 2026 | 170.68 Mn |
| Dec 31, 2025 | 85.73 Mn |
| Sep 30, 2025 | 75.77 Mn |
| Jun 30, 2025 | 89.31 Mn |
| Mar 31, 2025 | 87.56 Mn |
| Dec 31, 2024 | 66.89 Mn |
| Sep 30, 2024 | 32.89 Mn |
| Jun 30, 2024 | 39.11 Mn |
| Mar 31, 2024 | 64.13 Mn |
| Dec 31, 2023 | 57.90 Mn |
| Sep 30, 2023 | 63.52 Mn |
| Jun 30, 2023 | 57.25 Mn |
| Mar 31, 2023 | 39.09 Mn |
| Dec 31, 2022 | 38.94 Mn |
| Sep 30, 2022 | 329.08 Mn |
| Jun 30, 2022 | 339.74 Mn |
| Mar 31, 2022 | 299.13 Mn |
| Dec 31, 2021 | 280.11 Mn |
| Sep 30, 2021 | 337.79 Mn |
Clear Secure Cash & Equivalents 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=cash-and-equivalents&ticker=YOU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=YOU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();