Clear Secure (YOU) Total Liabilities (2020 - 2026)
Clear Secure (YOU) posted Total Liabilities of $1.34 billion for Q2 2026, up 26.8% from $1.05 billion a year earlier and up 10.5% from the prior quarter.
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Analysis
Clear Secure (YOU) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Clear Secure's Total Liabilities came in at $1.1 billion, up 14.8% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Clear Secure's Total Liabilities was $956.99 million in FY2024 (+41.6%), $675.79 million in FY2023 (+28.3%), $526.6 million in FY2022 (+92.7%) and $273.28 million in FY2021 (-62.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Liabilities has increased in each of the last 17 quarters, with growth averaging 28.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 117.0%; the weakest was Q4 2021, with a decline of 62.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.21 billion (Q1 2026), $1.1 billion (Q4 2025) and $959.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Clear Secure | 5.44 Bn | 2.49 Bn | - | 1.34 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.34 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 959.75 Mn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 985.35 Mn |
| Dec 31, 2024 | 956.99 Mn |
| Sep 30, 2024 | 677.54 Mn |
| Jun 30, 2024 | 754.12 Mn |
| Mar 31, 2024 | 747.77 Mn |
| Dec 31, 2023 | 675.79 Mn |
| Sep 30, 2023 | 603.58 Mn |
| Jun 30, 2023 | 624.09 Mn |
| Mar 31, 2023 | 595.08 Mn |
| Dec 31, 2022 | 526.60 Mn |
| Sep 30, 2022 | 364.47 Mn |
| Jun 30, 2022 | 362.31 Mn |
| Mar 31, 2022 | 321.64 Mn |
| Dec 31, 2021 | 273.28 Mn |
| Sep 30, 2021 | 218.25 Mn |
API Access
Clear Secure Total Liabilities 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=total-liabilities&ticker=YOU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=YOU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();