Planet Image International (YIBO) Total Non-Current Liabilities (2022 - 2026)
Planet Image International's Total Non-Current Liabilities came in at $15.27 million for the quarter ended Jun 30, 2026, up 219.1% from $4.79 million a year earlier.
Planet Image International (YIBO) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Planet Image International's Total Non-Current Liabilities was $15.53 million, up 614.9% from the prior year.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of 105.5% (years ended Dec 2022 to Dec 2025).
- Going back by year, Total Non-Current Liabilities 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.
- The five-year range for quarterly Total Non-Current Liabilities is $335,000 (the quarter ended Jun 30, 2024) to $15.53 million (the quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | Planet Image International | 62.67 Mn | -126.65 Mn | - | 15.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.27 Mn |
| Dec 31, 2025 | 15.53 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 Total Non-Current 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-non-current-liabilities&ticker=YIBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=YIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();