Clear Secure (YOU) Accumulated Expenses (2020 - 2026)
Clear Secure (YOU) recorded Accumulated Expenses of $404.69 million in Q2 2026, up 33.2% from $303.89 million a year earlier and up 35.5% from the prior quarter.
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Analysis
Clear Secure (YOU) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Clear Secure reported Accumulated Expenses of $236.54 million, up 27.7% from FY2024.
- Annual Accumulated Expenses has increased for five straight years, with a five-year compound annual growth rate of 66.8% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $185.28 million in FY2024 (+13.0%), $164.02 million in FY2023 (+54.6%), $106.07 million in FY2022 (+57.8%) and $67.22 million in FY2021 (+267.2%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- On a year-over-year basis, Accumulated Expenses has increased for 17 consecutive quarters, with growth averaging 20.1% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 2.9% (Q1 2025) and 267.2% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $298.61 million (Q1 2026), $236.54 million (Q4 2025) and $154.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Clear Secure | 5.65 Bn | 2.70 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 404.69 Mn |
| Mar 31, 2026 | 298.61 Mn |
| Dec 31, 2025 | 236.54 Mn |
| Sep 30, 2025 | 154.53 Mn |
| Jun 30, 2025 | 303.89 Mn |
| Mar 31, 2025 | 246.83 Mn |
| Dec 31, 2024 | 185.28 Mn |
| Sep 30, 2024 | 129.73 Mn |
| Jun 30, 2024 | 236.42 Mn |
| Mar 31, 2024 | 239.95 Mn |
| Dec 31, 2023 | 164.02 Mn |
| Sep 30, 2023 | 112.31 Mn |
| Jun 30, 2023 | 172.16 Mn |
| Mar 31, 2023 | 155.60 Mn |
| Dec 31, 2022 | 106.07 Mn |
| Sep 30, 2022 | 76.06 Mn |
| Jun 30, 2022 | 95.44 Mn |
| Mar 31, 2022 | 77.91 Mn |
| Dec 31, 2021 | 67.22 Mn |
| Sep 30, 2021 | 45.19 Mn |
API Access
Clear Secure Accumulated 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=accumulated-expenses&ticker=YOU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=YOU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();