Clear Secure (YOU) Property, Plant & Equipment (Net) (2020 - 2026)
Clear Secure's Property, Plant & Equipment (Net) was $62.71 million in Q2 2026, up 16.4% from $53.88 million a year earlier and up 8.4% from the prior quarter.
Clear Secure (YOU) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Clear Secure came in at $59.33 million, up 4.3% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $56.87 million in FY2024 (-9.2%), $62.61 million in FY2023 (+8.1%), $57.92 million in FY2022 (+30.1%) and $44.52 million in FY2021 (+26.3%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with an average decline of 2.3% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2023 (growth of 47.5%); the worst was Q3 2024 (a decline of 12.2%).
- Per Business Quant data, YOU's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $57.86 million (Q1 2026), $59.33 million (Q4 2025) and $54.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 207.98 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 1.73 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 438.17 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 753.00 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 33.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 341.51 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Clear Secure | 5.63 Bn | 2.54 Bn | - | 62.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.36 Mn |
| Jun 30, 2026 | 62.71 Mn |
| Mar 31, 2026 | 57.86 Mn |
| Dec 31, 2025 | 59.33 Mn |
| Sep 30, 2025 | 54.85 Mn |
| Jun 30, 2025 | 53.88 Mn |
| Mar 31, 2025 | 55.45 Mn |
| Dec 31, 2024 | 56.87 Mn |
| Sep 30, 2024 | 57.76 Mn |
| Jun 30, 2024 | 59.29 Mn |
| Mar 31, 2024 | 60.13 Mn |
| Dec 31, 2023 | 62.61 Mn |
| Sep 30, 2023 | 65.80 Mn |
| Jun 30, 2023 | 64.59 Mn |
| Mar 31, 2023 | 68.04 Mn |
| Dec 31, 2022 | 57.92 Mn |
| Sep 30, 2022 | 56.05 Mn |
| Jun 30, 2022 | 52.84 Mn |
| Mar 31, 2022 | 46.12 Mn |
| Dec 31, 2021 | 44.52 Mn |
Clear Secure Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=YOU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=YOU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();