Clear Secure (YOU) Change in Accrued Expenses (2020 - 2026)
Clear Secure (YOU) posted Change in Accured Expenses of $79.88 million for Q2 2026, up 40.7% from $56.76 million a year earlier and up 10.7% from the prior quarter.
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Analysis
Clear Secure (YOU) Change in Accrued Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Clear Secure was $85.48 million, down 42.4% year-over-year; for FY2025, it came in at $45.92 million, down 62.0% from FY2024.
- In prior years, Clear Secure's Change in Accured Expenses was $120.96 million in FY2024 (+258.8%), $33.71 million in FY2023 (-3.6%), $34.98 million in FY2022 (-30.1%) and $50.05 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$148.59 million in Q3 2025 to a high of $147.27 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 53.9%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2021, with growth of 712.8%; the weakest was Q4 2025, with a decline of 44.3%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $72.12 million (Q1 2026), $82.07 million (Q4 2025) and -$148.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Clear Secure | 5.63 Bn | 2.54 Bn | - | -231.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -231.57 Mn |
| Jun 30, 2026 | 79.88 Mn |
| Mar 31, 2026 | 72.12 Mn |
| Dec 31, 2025 | 82.07 Mn |
| Sep 30, 2025 | -148.59 Mn |
| Jun 30, 2025 | 56.76 Mn |
| Mar 31, 2025 | 55.68 Mn |
| Dec 31, 2024 | 147.27 Mn |
| Sep 30, 2024 | -111.33 Mn |
| Jun 30, 2024 | 47.61 Mn |
| Mar 31, 2024 | 37.42 Mn |
| Dec 31, 2023 | 44.70 Mn |
| Sep 30, 2023 | -75.19 Mn |
| Jun 30, 2023 | 34.49 Mn |
| Mar 31, 2023 | 29.70 Mn |
| Dec 31, 2022 | 28.55 Mn |
| Sep 30, 2022 | -18.62 Mn |
| Jun 30, 2022 | 17.80 Mn |
| Mar 31, 2022 | 7.26 Mn |
| Dec 31, 2021 | 21.43 Mn |
API Access
Clear Secure Change in Accrued 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=change-in-accured-expenses&ticker=YOU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=YOU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();