Planet Image International (YIBO) Operating Leases (2022 - 2026)
Planet Image International's Operating Leases was $6.49 million in the quarter ended Jun 30, 2026, up 35.6% from $4.79 million a year earlier.
Planet Image International (YIBO) Operating Leases (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at Planet Image International came in at $6.94 million, up 219.7% from the prior year.
- Operating Leases shows a three-year compound annual growth rate of 57.1% (years ended Dec 2022 to Dec 2025).
- In earlier years, Operating Leases was $2.17 million in the year ended Dec 31, 2024 (+218.0%), $683,000 in the year ended Dec 31, 2023 (-61.8%) and $1.79 million in the year ended Dec 31, 2022.
- Quarterly Operating Leases has moved between $335,000 (the quarter ended Jun 30, 2024) and $6.94 million (the quarter ended Dec 31, 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Planet Image International | 63.24 Mn | -126.08 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.49 Mn |
| Dec 31, 2025 | 6.94 Mn |
| Jun 30, 2025 | 4.79 Mn |
| Dec 31, 2024 | 2.17 Mn |
| Jun 30, 2024 | 335,000.00 |
| Dec 31, 2023 | 683,000.00 |
| Dec 31, 2022 | 1.79 Mn |
Planet Image International Operating Leases 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=operating-leases&ticker=YIBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "YIBO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=YIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();