Planet Image International (YIBO) Total Liabilities (2022 - 2026)
Planet Image International (YIBO) reported Total Liabilities of $84.52 million for the quarter ended Jun 30, 2026, up 2.9% from $82.16 million a year earlier.
Planet Image International (YIBO) Total Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Planet Image International posted Total Liabilities of $96.24 million, up 17.3% from the prior year.
- Total Liabilities has a three-year compound annual growth rate of 0.9% (years ended Dec 2022 to Dec 2025).
- By year, Total Liabilities came in at $82.04 million in the year ended Dec 31, 2024 (-15.6%), $97.16 million in the year ended Dec 31, 2023 (+3.8%) and $93.56 million in the year ended Dec 31, 2022.
- Five-year quarterly Total Liabilities spans a low of $82.04 million in the quarter ended Dec 31, 2024 and a high of $97.16 million in the quarter ended Dec 31, 2023.
- Year over year, Total Liabilities gained in two of the last four quarters, with growth averaging 0.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.21 Bn | 105.50 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 86.45 Bn | 85.54 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 33.83 Bn | 33.02 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.43 Bn | 14.46 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.07 Bn | 15.62 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 15.05 Bn | 13.81 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.67 Bn | 12.62 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.57 Bn | 8.26 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.66 Bn | 4.18 Bn | - | - |
| 10 | Planet Image International | 62.96 Mn | -125.78 Mn | - | 84.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.52 Mn |
| Dec 31, 2025 | 96.24 Mn |
| Jun 30, 2025 | 82.16 Mn |
| Dec 31, 2024 | 82.04 Mn |
| Jun 30, 2024 | 85.38 Mn |
| Dec 31, 2023 | 97.16 Mn |
| Dec 31, 2022 | 93.56 Mn |
Planet Image International 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=YIBO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=YIBO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();